{ "x402Version": 2, "site": "tensorfeed.ai", "publisher": { "name": "TensorFeed.ai", "url": "https://tensorfeed.ai", "description": "Real-time AI news, model pricing, service status, and machine-payable premium intelligence for AI agents.", "agent_fair_trade": "TensorFeed.ai is agent fair-trade certified: open pricing, automatic no-charge on 5xx, breaker, schema fail, and stale data, Ed25519-signed receipts on every paid call, inference-only license. Built with Claude (Anthropic). Standard at /.well-known/agent-fair-trade.json.", "method_support": { "live": [ { "method": "exact", "network": "eip155:8453", "asset_symbol": "USDC", "note": "USDC on Base mainnet, verified via Base RPC" } ], "evaluating": [ { "method": "stripe", "credential_type": "shared_payment_token", "spec": "https://link.com/agents", "note": "Stripe Link Shared Payment Tokens via x402 with method=stripe in www-authenticate. Under evaluation; not yet accepted." } ] }, "contact": "contact@tensorfeed.ai", "docs": "https://tensorfeed.ai/developers/agent-payments", "llmsTxt": "https://tensorfeed.ai/llms.txt", "operator": { "legalEntity": "Pizza Robot Studios LLC", "jurisdiction": "California, USA", "terms": "https://tensorfeed.ai/terms", "privacy": "https://tensorfeed.ai/privacy", "note": "Pizza Robot Studios LLC is the legal entity behind the payment wallet. Premium credits are non-refundable per Section 17.5 of the Terms of Service." }, "validation": { "method": "TLS + multi-publication", "publishedAt": [ "https://tensorfeed.ai/llms.txt", "https://tensorfeed.ai/api/payment/info", "https://github.com/RipperMercs/tensorfeed", "https://x.com/tensorfeed" ], "note": "Cross-check the wallet address across all four published locations before sending funds. If any disagree, do not send." } }, "payment": { "wallet": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "assetSymbol": "USDC", "assetDecimals": 6, "network": "eip155:8453", "networkName": "Base mainnet", "creditsPerUsd": 50, "centsPerCredit": 2, "volumeDiscounts": [ { "minUsd": 5, "creditsPerUsd": 55, "label": "10% off" }, { "minUsd": 30, "creditsPerUsd": 65, "label": "25% off" }, { "minUsd": 200, "creditsPerUsd": 80, "label": "40% off" } ], "welcomeBonus": { "credits": 50, "usdValue": "1.00", "trigger": "first successful USDC payment from a new sender wallet", "appliesTo": [ "credits flow (/api/payment/confirm)", "x402 fallback" ], "stackableWithVolumeDiscounts": true, "responseFields": [ "welcome_bonus_credits", "is_first_payment" ] }, "freeTrialAllowance": { "calls": 100, "windowHours": 24, "windowKind": "rolling per IP", "authRequired": false, "walletRequired": false, "appliesTo": "every /api/premium/* endpoint", "selfServiceStatusEndpoint": "https://tensorfeed.ai/api/free-tier/status", "exhaustedBehavior": "Returns the canonical x402 V2 PaymentRequired (402) challenge with the trial state surfaced under free_trial.status='exhausted'. Agent can wait for the rolling 24h reset OR pay via X-PAYMENT (EIP-3009) OR buy credits via /api/payment/buy-credits.", "stackableWith": "welcomeBonus + volumeDiscounts (independent: trial gives evaluation; bonus + discounts apply to first paid purchase)", "responseFields": [ "billing.tier='free_trial'", "billing.free_trial_used_today", "billing.free_trial_remaining", "billing.free_trial_resets_at", "X-TF-Free-Trial header set on every trial-served response" ], "rationale": "Removes wallet-setup friction for first-time agent evaluation. Lets an agent prototype against any premium endpoint with zero authentication, zero on-chain settlement, and zero per-call cost until the daily cap is hit. Conversion path remains unchanged: agents that want production access buy credits or pay per call via x402." }, "flows": { "credits": { "description": "Recommended for repeat use. Buy a bearer token once, decrement credits per call.", "endpoints": { "info": "https://tensorfeed.ai/api/payment/info", "quote": "https://tensorfeed.ai/api/payment/buy-credits", "confirm": "https://tensorfeed.ai/api/payment/confirm", "balance": "https://tensorfeed.ai/api/payment/balance", "usage": "https://tensorfeed.ai/api/payment/usage" } }, "x402": { "description": "Canonical Coinbase x402 V2 exact scheme on Base mainnet. Call any /api/premium/* endpoint without auth to receive a 402 with PaymentRequired body. Sign an EIP-3009 transferWithAuthorization for the exact amount, base64-encode the PaymentPayload, retry with the X-PAYMENT header. The TensorFeed facilitator broadcasts on-chain and returns 200 with PAYMENT-RESPONSE settlement receipt and a credits token. 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Vanilla Coinbase x402 clients including AgentCore Payments should use the X-PAYMENT path above.", "header": "X-Payment-Tx", "auxiliary_header": "X-Payment-Quote", "verification": "Worker reads the USDC Transfer event from eth_getTransactionReceipt on the Base mainnet RPC. Replay protection: every used tx hash is permanently recorded. AFTA Tx-Sniper guard binds the on-chain sender to the X-Payment-Quote nonce." } }, "terms": { "noTraining": "Premium data is licensed for inference use only. Use of TensorFeed premium endpoint responses for training, fine-tuning, evaluation, or distillation of machine learning models is prohibited.", "refund": "All credit purchases are final and non-refundable per Section 17.5 of the Terms. Credits do not expire and remain redeemable across tensorfeed.ai and terminalfeed.io. Recommended pattern: buy small (for example, $1 USDC for 50 credits), calibrate, top up as needed.", "sla": "No SLA in MVP phase. Credits do not expire.", "sanctions": "Premium API access is unavailable to persons or entities subject to OFAC, EU, UK, or UN sanctions, and to residents of comprehensively sanctioned jurisdictions (Cuba, Iran, North Korea, Syria, Crimea, Donetsk, Luhansk). Inbound credit-purchase transactions are screened against the Chainalysis public sanctions API. See https://tensorfeed.ai/terms#premium Section 17.9.", "acceptableUse": "No reselling of bearer tokens or proxy APIs that materially reproduce the Premium API surface. No use of premium responses to train or evaluate competing models. See Section 17.12.", "governingLaw": "California law. Exclusive venue: Los Angeles County, California. See Section 15 Governing Law and Venue." } }, "items": [ { "resource": { "url": "https://tensorfeed.ai/api/premium/routing", "description": "Top-N AI model recommendation for a task. 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One paid call returns the per-day points plus a summary (first, latest, min, max, percent delta, changes detected). The pricing-trend feed the free 7-day sibling cannot reach.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "claude-opus-4-7", "from": "2026-04-23", "to": "2026-05-23" } }, "output": { "type": "json", "example": { "ok": true, "model": "claude-opus-4-7", "provider": "anthropic", "range": { "from": "2026-04-23", "to": "2026-05-23", "days": 31 }, "resolution": "daily", "points": [ { "date": "2026-04-23", "input": 15, "output": 75, "blended": 45 }, { "date": "2026-05-23", "input": 14, "output": 70, "blended": 42 } ], "attribution": { "source": "TensorFeed", "license": "derived" }, "summary": { "first": { "date": "2026-04-23", "input": 15, "output": 75, "blended": 45 }, "latest": { "date": "2026-05-23", "input": 14, "output": 70, "blended": 42 }, "min_blended": 42, "max_blended": 45, "delta_pct_blended": -6.6667, "changes_detected": 1, "days_with_data": 31, "days_missing": 0 }, "billing": { "credits_charged": 2, "credits_remaining": 48 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Pricing series", "description": "Daily input, output, and blended price history for one AI model across a full date window (90-day max). One paid call returns the per-day points plus a summary (first, latest, min, max, percent delta, changes detected). The pricing-trend feed the free 7-day sibling cannot reach.", "tier": 1, "credits": 1, "category": "ai-pricing-history" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "claude-opus-4-7", "from": "2026-04-23", "to": "2026-05-23" } }, "output": { "type": "json", "example": { "ok": true, "model": "claude-opus-4-7", "provider": "anthropic", "range": { "from": "2026-04-23", "to": "2026-05-23", "days": 31 }, "resolution": "daily", "points": [ { "date": "2026-04-23", "input": 15, "output": 75, "blended": 45 }, { "date": "2026-05-23", "input": 14, "output": 70, "blended": 42 } ], "attribution": { "source": "TensorFeed", "license": "derived" }, "summary": { "first": { "date": "2026-04-23", "input": 15, "output": 75, "blended": 45 }, "latest": { "date": "2026-05-23", "input": 14, "output": 70, "blended": 42 }, "min_blended": 42, "max_blended": 45, "delta_pct_blended": -6.6667, "changes_detected": 1, "days_with_data": 31, "days_missing": 0 }, "billing": { "credits_charged": 2, "credits_remaining": 48 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "model": { "type": "string", "description": "Model id or display name to series (e.g. \"claude-opus-4-7\"). Required." }, "from": { "type": "string", "description": "Inclusive start date YYYY-MM-DD. Optional; defaults to 30 days before to." }, "to": { "type": "string", "description": "Inclusive end date YYYY-MM-DD. Optional; defaults to today UTC. Window capped at 90 days." } }, "required": [ "model" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/history/benchmarks/series", "description": "Daily benchmark-score history for one AI model on one benchmark (swe_bench, mmlu_pro, gpqa_diamond, math, human_eval) across a full date window (90-day max). Returns the per-day points plus a summary (first, latest, min, max, delta in percentage points). The capability-drift feed.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "claude-opus-4-7", "benchmark": "swe_bench", "from": "2026-04-23", "to": "2026-05-23" } }, "output": { "type": "json", "example": { "ok": true, "model": "claude-opus-4-7", "benchmark": "swe_bench", "range": { "from": "2026-04-23", "to": "2026-05-23", "days": 31 }, "points": [ { "date": "2026-04-23", "score": 0.72 }, { "date": "2026-05-23", "score": 0.74 } ], "attribution": { "source": "TensorFeed", "license": "derived" }, "summary": { "first": { "date": "2026-04-23", "score": 0.72 }, "latest": { "date": "2026-05-23", "score": 0.74 }, "min_score": 0.72, "max_score": 0.74, "delta_pp": 0.02, "days_with_data": 31, "days_missing": 0 }, "billing": { "credits_charged": 2, "credits_remaining": 48 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Benchmark score series", "description": "Daily benchmark-score history for one AI model on one benchmark (swe_bench, mmlu_pro, gpqa_diamond, math, human_eval) across a full date window (90-day max). Returns the per-day points plus a summary (first, latest, min, max, delta in percentage points). The capability-drift feed.", "tier": 1, "credits": 1, "category": "ai-benchmark-history" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "claude-opus-4-7", "benchmark": "swe_bench", "from": "2026-04-23", "to": "2026-05-23" } }, "output": { "type": "json", "example": { "ok": true, "model": "claude-opus-4-7", "benchmark": "swe_bench", "range": { "from": "2026-04-23", "to": "2026-05-23", "days": 31 }, "points": [ { "date": "2026-04-23", "score": 0.72 }, { "date": "2026-05-23", "score": 0.74 } ], "attribution": { "source": "TensorFeed", "license": "derived" }, "summary": { "first": { "date": "2026-04-23", "score": 0.72 }, "latest": { "date": "2026-05-23", "score": 0.74 }, "min_score": 0.72, "max_score": 0.74, "delta_pp": 0.02, "days_with_data": 31, "days_missing": 0 }, "billing": { "credits_charged": 2, "credits_remaining": 48 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "model": { "type": "string", "description": "Model id or display name to series (e.g. \"claude-opus-4-7\"). Required." }, "benchmark": { "type": "string", "description": "Benchmark key (swe_bench, mmlu_pro, gpqa_diamond, math, human_eval). Case-insensitive. Required." }, "from": { "type": "string", "description": "Inclusive start date YYYY-MM-DD. Optional; defaults to 30 days before to." }, "to": { "type": "string", "description": "Inclusive end date YYYY-MM-DD. Optional; defaults to today UTC. Window capped at 90 days." } }, "required": [ "model", "benchmark" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/history/status/uptime", "description": "Historical uptime SLA report for one AI provider over a full date window (90-day max). Returns per-day operational, degraded, down, and unknown counts, a computed uptime percentage (degraded counts half), and the list of incident days. The \"what was provider X SLA last quarter\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "provider": "openai", "from": "2026-04-23", "to": "2026-05-23" } }, "output": { "type": "json", "example": { "ok": true, "provider": "openai", "range": { "from": "2026-04-23", "to": "2026-05-23", "days": 31 }, "days_total": 31, "days_with_data": 31, "days_missing": 0, "days_operational": 29, "days_degraded": 1, "days_down": 1, "days_unknown": 0, "uptime_pct": 95.1613, "incident_days": [ { "date": "2026-05-12", "status": "degraded" }, { "date": "2026-05-18", "status": "down" } ], "billing": { "credits_charged": 2, "credits_remaining": 48 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Uptime rollup", "description": "Historical uptime SLA report for one AI provider over a full date window (90-day max). Returns per-day operational, degraded, down, and unknown counts, a computed uptime percentage (degraded counts half), and the list of incident days. The \"what was provider X SLA last quarter\" call.", "tier": 1, "credits": 1, "category": "ai-status-history" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "provider": "openai", "from": "2026-04-23", "to": "2026-05-23" } }, "output": { "type": "json", "example": { "ok": true, "provider": "openai", "range": { "from": "2026-04-23", "to": "2026-05-23", "days": 31 }, "days_total": 31, "days_with_data": 31, "days_missing": 0, "days_operational": 29, "days_degraded": 1, "days_down": 1, "days_unknown": 0, "uptime_pct": 95.1613, "incident_days": [ { "date": "2026-05-12", "status": "degraded" }, { "date": "2026-05-18", "status": "down" } ], "billing": { "credits_charged": 2, "credits_remaining": 48 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "provider": { "type": "string", "description": "Provider name or id (e.g. openai, anthropic, google). Case-insensitive substring match. Required." }, "from": { "type": "string", "description": "Inclusive start date YYYY-MM-DD. Optional; defaults to 30 days before to." }, "to": { "type": "string", "description": "Inclusive end date YYYY-MM-DD. Optional; defaults to today UTC. Window capped at 90 days." } }, "required": [ "provider" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/history/news/full", "description": "Untruncated TensorFeed daily news archive. Pass ?date=YYYY-MM-DD for one day, or ?from=&to= for a range up to 30 days. 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Percentile is the rank within the EPSS corpus on that date." }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "date": { "type": "string", "description": "UTC date (YYYY-MM-DD) for a historical EPSS leaderboard. Omit for the current top-N." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "How many top CVEs to return. 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License: MITRE CVE Terms of Use; commercial redistribution permitted.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-05-09T00:00:00Z", "metadata": { "name": "LLM-ready CVE record", "description": "MITRE CVE Record v5.2 transformed into a flat token-efficient payload optimized for LLM context windows. Drops typical record from ~3KB nested JSON to ~500 bytes flat JSON (~80% token reduction) with no information loss for agent decision-making. Adds derived severity_band, deduped CWEs, flat affected_products, top references. Versioned via schema_version + cleaning_version for stability. License: MITRE CVE Terms of Use; commercial redistribution permitted.", "tier": 1, "credits": 1, "category": "ai-security-cve-clean" } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/clean/kev/{CVE-id}", "description": "CISA Known Exploited Vulnerabilities entry transformed into LLM-ready format with normalized ransomware_use enum (yes / unknown / no) and extracted notes_urls. Versioned for stability. License: US Government public domain.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-05-09T00:00:00Z", "metadata": { "name": "LLM-ready KEV entry", "description": "CISA Known Exploited Vulnerabilities entry transformed into LLM-ready format with normalized ransomware_use enum (yes / unknown / no) and extracted notes_urls. Versioned for stability. License: US Government public domain.", "tier": 1, "credits": 1, "category": "ai-security-kev-clean" } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/clean/epss/{CVE-id}", "description": "FIRST.org EPSS score transformed into LLM-ready format with numeric probability (not stringified), derived risk_band (low/medium/high/critical), and optional series summary (first/min/max points instead of full daily series). Optional ?series=true returns the summary; default returns the current point only. License: FIRST.org free-for-any-use policy.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-05-09T00:00:00Z", "metadata": { "name": "LLM-ready EPSS score", "description": "FIRST.org EPSS score transformed into LLM-ready format with numeric probability (not stringified), derived risk_band (low/medium/high/critical), and optional series summary (first/min/max points instead of full daily series). Optional ?series=true returns the summary; default returns the current point only. License: FIRST.org free-for-any-use policy.", "tier": 1, "credits": 1, "category": "ai-security-epss-clean" } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/{CVE-id}", "description": "Single-call cross-database CVE verification. Composes MITRE CVE Record + CISA Known Exploited Vulnerabilities + FIRST.org EPSS + OSV.dev advisory + CISA Vulnrichment SSVC into one LLM-ready fact card with confirmed_by array and corroboration_count. Reduces 5 fan-out calls and 5 different parsing schemas to one. The anti-hallucination lookup for security agents: corroboration_count is auditable per call. Sources missing the CVE just don't appear in confirmed_by; the call still returns whatever sources do have it. License terms inherited from each upstream source; attribution block per source included on every response.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-05-09T00:00:00Z", "metadata": { "name": "Verified CVE (cross-database)", "description": "Single-call cross-database CVE verification. Composes MITRE CVE Record + CISA Known Exploited Vulnerabilities + FIRST.org EPSS + OSV.dev advisory + CISA Vulnrichment SSVC into one LLM-ready fact card with confirmed_by array and corroboration_count. Reduces 5 fan-out calls and 5 different parsing schemas to one. The anti-hallucination lookup for security agents: corroboration_count is auditable per call. Sources missing the CVE just don't appear in confirmed_by; the call still returns whatever sources do have it. License terms inherited from each upstream source; attribution block per source included on every response.", "tier": 1, "credits": 1, "category": "ai-security-verified-cve" } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/history/news/clusters/full", "description": "Full untruncated story-level cross-source corroboration clusters per UTC date or range up to 30 days. Each cluster groups TensorFeed news articles about the same story via embedding-based similarity (Workers AI bge-base-en-v1.5 at threshold 0.82) and reports source_count, sources_list, hero article (earliest publishedAt), corroboration_band (single/limited/broad), and contributing article_ids. The free /api/history/news/clusters caps at 25 clusters/day; this endpoint returns all clusters with no cap.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-05-09T00:00:00Z", "metadata": { "name": "News story clusters (full)", "description": "Full untruncated story-level cross-source corroboration clusters per UTC date or range up to 30 days. Each cluster groups TensorFeed news articles about the same story via embedding-based similarity (Workers AI bge-base-en-v1.5 at threshold 0.82) and reports source_count, sources_list, hero article (earliest publishedAt), corroboration_band (single/limited/broad), and contributing article_ids. The free /api/history/news/clusters caps at 25 clusters/day; this endpoint returns all clusters with no cap.", "tier": 1, "credits": 1, "category": "news-verification" } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/history/news/verified", "description": "Story-level news feed filtered to clusters with N or more independent sources corroborating. Default min_sources=4 (broad corroboration). Agents asking 'do not act on a single source' get a clean stream of stories that cleared the trust threshold. The trust play Gemini named: only TF can ship this because only TF has the cross-source view at scale. Single-date or 30-day range. Computed nightly via Workers AI bge-base-en-v1.5 embedding clustering.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-05-09T00:00:00Z", "metadata": { "name": "Verified news feed", "description": "Story-level news feed filtered to clusters with N or more independent sources corroborating. Default min_sources=4 (broad corroboration). Agents asking 'do not act on a single source' get a clean stream of stories that cleared the trust threshold. The trust play Gemini named: only TF can ship this because only TF has the cross-source view at scale. Single-date or 30-day range. Computed nightly via Workers AI bge-base-en-v1.5 embedding clustering.", "tier": 1, "credits": 1, "category": "news-verification" } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/agents/directory", "description": "Enriched AI agents directory. One paid call returns the catalog joined with live provider status, recent news mentions, 24h agent traffic, and sample model pricing, ranked by a derived trending score. The agent-discovers-agent feed.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "category": "coding", "status": "operational", "open_source": false, "sort": "trending", "limit": 25 } }, "output": { "type": "json", "example": { "ok": true, "count": 25, "agents": [ { "id": "claude-code", "name": "Claude Code", "provider": "anthropic", "category": "coding", "live_status": "operational", "trending_score": 87, "recent_news_count": 4, "agent_traffic_24h": 312, "sample_pricing": { "model": "Claude Opus 4.7", "blended_per_1m": 25 }, "url": "https://claude.com/code" } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Enriched agents directory", "description": "Enriched AI agents directory. One paid call returns the catalog joined with live provider status, recent news mentions, 24h agent traffic, and sample model pricing, ranked by a derived trending score. The agent-discovers-agent feed.", "tier": 1, "credits": 1, "category": "ai-agents-directory" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "category": "coding", "status": "operational", "open_source": false, "sort": "trending", "limit": 25 } }, "output": { "type": "json", "example": { "ok": true, "count": 25, "agents": [ { "id": "claude-code", "name": "Claude Code", "provider": "anthropic", "category": "coding", "live_status": "operational", "trending_score": 87, "recent_news_count": 4, "agent_traffic_24h": 312, "sample_pricing": { "model": "Claude Opus 4.7", "blended_per_1m": 25 }, "url": "https://claude.com/code" } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "category": { "type": "string", "description": "Filter by category id (coding, search, voice, etc)." }, "status": { "type": "string", "enum": [ "operational", "degraded", "down", "unknown" ] }, "open_source": { "type": "boolean" }, "capability": { "type": "string", "description": "Filter to agents declaring this capability." }, "sort": { "type": "string", "enum": [ "trending", "name", "recent_news", "agent_traffic" ] }, "limit": { "type": "integer", "minimum": 1, "maximum": 100 } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/news/search", "description": "Full-text search over the AI news corpus with relevance scoring (term hits weighted 3 in title, 1 in snippet, plus recency boost) and date/provider/category filters.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-04-27T00:00:00Z", "metadata": { "name": "News search", "description": "Full-text search over the AI news corpus with relevance scoring (term hits weighted 3 in title, 1 in snippet, plus recency boost) and date/provider/category filters.", "tier": 1, "credits": 1, "category": "ai-news-search" } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/whats-new", "description": "Agent morning brief. One paid call returns the last 24 hours of AI pricing changes, new and removed models, service-status incidents, and top news headlines. The endpoint an agent calls on boot.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "days": 1, "news_limit": 10 } }, "output": { "type": "json", "example": { "ok": true, "window": { "from": "2026-05-13", "to": "2026-05-14", "days": 1 }, "computed_at": "2026-05-14T08:00:00Z", "summary": { "total_pricing_changes": 3, "new_models": 1, "removed_models": 0, "incidents": 2, "news_articles": 10 }, "pricing": { "changes": [ { "model": "Claude Opus 4.7", "provider": "anthropic", "field": "inputPrice", "from": 15, "to": 14, "delta_pct": -6.6667 } ], "new_models": [ { "model": "Sonnet 4.7", "provider": "anthropic", "input_per_1m": 3, "output_per_1m": 15, "tier": "mid" } ], "removed_models": [] }, "status": { "incidents": [ { "service": "API", "provider": "openai", "severity": "minor", "title": "Elevated latency for ChatGPT", "started_at": "2026-05-13T18:00:00Z", "resolved_at": "2026-05-13T19:30:00Z", "duration_minutes": 90 } ], "currently_operational": 12, "currently_degraded": 1, "currently_down": 0, "currently_unknown": 0 }, "news": [ { "title": "Anthropic announces Claude Opus 4.8", "url": "https://anthropic.com/news/opus-4-8", "source": "Anthropic", "published_at": "2026-05-13T15:00:00Z" } ] } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "What's new", "description": "Agent morning brief. One paid call returns the last 24 hours of AI pricing changes, new and removed models, service-status incidents, and top news headlines. The endpoint an agent calls on boot.", "tier": 1, "credits": 1, "category": "ai-agent-brief" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "days": 1, "news_limit": 10 } }, "output": { "type": "json", "example": { "ok": true, "window": { "from": "2026-05-13", "to": "2026-05-14", "days": 1 }, "computed_at": "2026-05-14T08:00:00Z", "summary": { "total_pricing_changes": 3, "new_models": 1, "removed_models": 0, "incidents": 2, "news_articles": 10 }, "pricing": { "changes": [ { "model": "Claude Opus 4.7", "provider": "anthropic", "field": "inputPrice", "from": 15, "to": 14, "delta_pct": -6.6667 } ], "new_models": [ { "model": "Sonnet 4.7", "provider": "anthropic", "input_per_1m": 3, "output_per_1m": 15, "tier": "mid" } ], "removed_models": [] }, "status": { "incidents": [ { "service": "API", "provider": "openai", "severity": "minor", "title": "Elevated latency for ChatGPT", "started_at": "2026-05-13T18:00:00Z", "resolved_at": "2026-05-13T19:30:00Z", "duration_minutes": 90 } ], "currently_operational": 12, "currently_degraded": 1, "currently_down": 0, "currently_unknown": 0 }, "news": [ { "title": "Anthropic announces Claude Opus 4.8", "url": "https://anthropic.com/news/opus-4-8", "source": "Anthropic", "published_at": "2026-05-13T15:00:00Z" } ] } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "days": { "type": "integer", "minimum": 1, "maximum": 7, "description": "Window length in days back from now. Default 1, max 7." }, "news_limit": { "type": "integer", "minimum": 1, "maximum": 25, "description": "Max news headlines to return. Default 10, max 25." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/whats-new/pro", "description": "Pro tier of the agent morning brief. Returns the same 24-hour delta as /api/premium/whats-new plus Claude Haiku 4.5 generated analyst synthesis: a narrative summary, 1-5 key takeaways, and 1-3 recommended actions targeted by agent class (inference-bound, training-bound, security-watchful, cost-bound, compliance-watchful). Every claim cites back to a stable basis ID assigned server-side BEFORE the model sees the data. Citations that do not resolve are rejected at validation, so the agent never sees a hallucinated reference. 10 credits vs base at 1 credit.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "200000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "days": 1, "news_limit": 10 } }, "output": { "type": "json", "example": { "ok": true, "tier": "pro", "window": { "from": "2026-05-13", "to": "2026-05-14", "days": 1 }, "computed_at": "2026-05-14T08:00:00Z", "summary": { "total_pricing_changes": 1, "new_models": 1, "removed_models": 0, "incidents": 1, "news_articles": 1 }, "pricing": { "changes": [ { "model": "Claude Opus 4.7", "provider": "anthropic", "field": "inputPrice", "from": 15, "to": 14, "delta_pct": -6.6667 } ], "new_models": [ { "model": "Sonnet 4.7", "provider": "anthropic", "input_per_1m": 3, "output_per_1m": 15, "tier": "mid" } ], "removed_models": [] }, "status": { "incidents": [ { "service": "API", "provider": "openai", "severity": "minor", "title": "Elevated latency for ChatGPT", "started_at": "2026-05-13T18:00:00Z", "resolved_at": "2026-05-13T19:30:00Z", "duration_minutes": 90 } ], "currently_operational": 12, "currently_degraded": 1, "currently_down": 0, "currently_unknown": 0 }, "news": [ { "title": "Anthropic announces Claude Opus 4.8", "url": "https://anthropic.com/news/opus-4-8", "source": "Anthropic", "published_at": "2026-05-13T15:00:00Z" } ], "data_ids": { "pricing_changes": { "c1": "Claude Opus 4.7|anthropic|inputPrice" }, "new_models": { "m1": "Sonnet 4.7|anthropic" }, "removed_models": {}, "incidents": { "i1": "openai|Elevated latency for ChatGPT|2026-05-13T18:00:00Z" }, "news": { "n1": "https://anthropic.com/news/opus-4-8" } }, "pro": { "generated_by": "claude-haiku-4-5-20251001", "generated_at": "2026-05-14T08:00:00Z", "analyst_summary": "Anthropic cut Claude Opus 4.7 input pricing by 7 percent to 14 USD per million tokens in the window, the latest in a sequence of cohort price reductions. OpenAI experienced a minor 90 minute latency event on the ChatGPT API; no other carrier grade incidents. Cohort wide inference cost continues to trend down.", "key_takeaways": [ { "claim": "Anthropic cut Claude Opus 4.7 input pricing by 7 percent", "basis": [ "c1" ], "confidence": 0.98 }, { "claim": "Anthropic announced a new Sonnet 4.7 mid tier model", "basis": [ "m1", "n1" ], "confidence": 0.95 } ], "recommended_actions": [ { "for": "cost-bound", "action": "Re-evaluate Claude Opus as primary model given the price cut and capability parity", "priority": "monitor", "basis": [ "c1" ] }, { "for": "inference-bound", "action": "Test Sonnet 4.7 in low risk workloads as a cost effective mid tier alternative", "priority": "monitor", "basis": [ "m1" ] } ] }, "billing": { "credits_charged": 10, "credits_remaining": 40 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "What's new Pro", "description": "Pro tier of the agent morning brief. Returns the same 24-hour delta as /api/premium/whats-new plus Claude Haiku 4.5 generated analyst synthesis: a narrative summary, 1-5 key takeaways, and 1-3 recommended actions targeted by agent class (inference-bound, training-bound, security-watchful, cost-bound, compliance-watchful). Every claim cites back to a stable basis ID assigned server-side BEFORE the model sees the data. Citations that do not resolve are rejected at validation, so the agent never sees a hallucinated reference. 10 credits vs base at 1 credit.", "tier": 2, "credits": 10, "category": "ai-agent-brief-pro" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "days": 1, "news_limit": 10 } }, "output": { "type": "json", "example": { "ok": true, "tier": "pro", "window": { "from": "2026-05-13", "to": "2026-05-14", "days": 1 }, "computed_at": "2026-05-14T08:00:00Z", "summary": { "total_pricing_changes": 1, "new_models": 1, "removed_models": 0, "incidents": 1, "news_articles": 1 }, "pricing": { "changes": [ { "model": "Claude Opus 4.7", "provider": "anthropic", "field": "inputPrice", "from": 15, "to": 14, "delta_pct": -6.6667 } ], "new_models": [ { "model": "Sonnet 4.7", "provider": "anthropic", "input_per_1m": 3, "output_per_1m": 15, "tier": "mid" } ], "removed_models": [] }, "status": { "incidents": [ { "service": "API", "provider": "openai", "severity": "minor", "title": "Elevated latency for ChatGPT", "started_at": "2026-05-13T18:00:00Z", "resolved_at": "2026-05-13T19:30:00Z", "duration_minutes": 90 } ], "currently_operational": 12, "currently_degraded": 1, "currently_down": 0, "currently_unknown": 0 }, "news": [ { "title": "Anthropic announces Claude Opus 4.8", "url": "https://anthropic.com/news/opus-4-8", "source": "Anthropic", "published_at": "2026-05-13T15:00:00Z" } ], "data_ids": { "pricing_changes": { "c1": "Claude Opus 4.7|anthropic|inputPrice" }, "new_models": { "m1": "Sonnet 4.7|anthropic" }, "removed_models": {}, "incidents": { "i1": "openai|Elevated latency for ChatGPT|2026-05-13T18:00:00Z" }, "news": { "n1": "https://anthropic.com/news/opus-4-8" } }, "pro": { "generated_by": "claude-haiku-4-5-20251001", "generated_at": "2026-05-14T08:00:00Z", "analyst_summary": "Anthropic cut Claude Opus 4.7 input pricing by 7 percent to 14 USD per million tokens in the window, the latest in a sequence of cohort price reductions. OpenAI experienced a minor 90 minute latency event on the ChatGPT API; no other carrier grade incidents. 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OpenAlex CC0. 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The \"what AI packages are heating up\" feed.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "100000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": {} }, "output": { "type": "json", "example": { "ok": true, "window": { "window_days": 7 }, "packages": [ { "name": "langchain", "category": "orchestration", "downloads_current": 5400000, "downloads_prior": 4900000, "velocity_ratio": 1.102, "direction": "accelerating" } ], "notable_movers": { "gainers": [ "langchain", "instructor" ], "decliners": [ "old-llm-lib" ] }, "by_category": { "orchestration": 12, "embeddings": 8, "evaluation": 5 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "PyPI packages momentum", "description": "AI/ML PyPI package momentum and velocity. Per-package week-over-week change, direction classification (accelerating / steady / declining), notable movers, and by-category counts. The \"what AI packages are heating up\" feed.", "tier": 1, "credits": 5, "category": "package-ecosystem-momentum" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": {} }, "output": { "type": "json", "example": { "ok": true, "window": { "window_days": 7 }, "packages": [ { "name": "langchain", "category": "orchestration", "downloads_current": 5400000, "downloads_prior": 4900000, "velocity_ratio": 1.102, "direction": "accelerating" } ], "notable_movers": { "gainers": [ "langchain", "instructor" ], "decliners": [ "old-llm-lib" ] }, "by_category": { "orchestration": 12, "embeddings": 8, "evaluation": 5 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object" } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/probe/series", "description": "Daily latency and uptime series from TensorFeed measured probes against one provider (anthropic, openai, google, mistral, cohere). 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Default 30 days, max 90.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "2026-04-23", "to": "2026-05-23" } }, "output": { "type": "json", "example": { "from": "2026-04-23", "to": "2026-05-23", "days": 31, "points": [ { "date": "2026-05-23", "total": 42, "ok_count": 39, "error_count": 3, "federation_count": 2, "network_count": 2, "networks": [ "base", "base-sepolia" ], "paid_endpoints_total": 318, "free_endpoints_total": 511, "agent_fair_trade_count": 6, "added": 1, "removed": 0, "status_flips": 2, "wallet_changes": 0, "added_sample": [ "newpublisher.xyz" ], "removed_sample": [], "wallet_change_sample": [], "has_data": true } ], "delta_in_window": { "start_total": 38, "end_total": 42, "net": 4, "start_ok": 35, "end_ok": 39 }, "attribution": { "source": "TensorFeed x402 Registry", "source_url": "https://tensorfeed.ai/x402-registry", "license": "TF-aggregated registry of x402 publishers. Underlying manifests are owned by their publishers and served at /.well-known/x402. TF surfaces a normalized view; inclusion is not an endorsement and agents should still verify wallet addresses on-chain and against publisher.validation.publishedAt before sending funds.", "source_url_per_entry": "https://{domain}/.well-known/x402", "refresh_cadence": "daily" }, "notes": [], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "x402 publisher registry drift series", "description": "Daily x402 publisher-registry drift. Per-day reachable vs erroring publisher counts, federation count, network breadth, paid and free endpoint totals, and agent-fair-trade declarations, plus day-over-day domains added and removed, crawl status flips, and payment-wallet changes (the security-relevant signal an agent paying a publisher wants to watch). A registry is current-state only, so this history is TensorFeed-captured. Default 30 days, max 90.", "tier": 1, "credits": 1, "category": "ai-x402-registry-series" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "2026-04-23", "to": "2026-05-23" } }, "output": { "type": "json", "example": { "from": "2026-04-23", "to": "2026-05-23", "days": 31, "points": [ { "date": "2026-05-23", "total": 42, "ok_count": 39, "error_count": 3, "federation_count": 2, "network_count": 2, "networks": [ "base", "base-sepolia" ], "paid_endpoints_total": 318, "free_endpoints_total": 511, "agent_fair_trade_count": 6, "added": 1, "removed": 0, "status_flips": 2, "wallet_changes": 0, "added_sample": [ "newpublisher.xyz" ], "removed_sample": [], "wallet_change_sample": [], "has_data": true } ], "delta_in_window": { "start_total": 38, "end_total": 42, "net": 4, "start_ok": 35, "end_ok": 39 }, "attribution": { "source": "TensorFeed x402 Registry", "source_url": "https://tensorfeed.ai/x402-registry", "license": "TF-aggregated registry of x402 publishers. Underlying manifests are owned by their publishers and served at /.well-known/x402. TF surfaces a normalized view; inclusion is not an endorsement and agents should still verify wallet addresses on-chain and against publisher.validation.publishedAt before sending funds.", "source_url_per_entry": "https://{domain}/.well-known/x402", "refresh_cadence": "daily" }, "notes": [], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "from": { "type": "string", "description": "Start date YYYY-MM-DD. Optional; defaults to 30 days before to." }, "to": { "type": "string", "description": "End date YYYY-MM-DD. Optional; defaults to today UTC. Range capped at 90 days." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/hf/velocity", "description": "Daily Hugging Face download-velocity over a trailing window (default 30 days, max 90). Per-day top models and datasets by download delta, top Spaces by likes delta among the daily top-30, top-set entered and exited churn, plus window gainers (last minus first captured day). HF exposes only cumulative totals and a live top list, so this velocity is TensorFeed-computed and cannot be backfilled.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "2026-04-29", "to": "2026-05-28" } }, "output": { "type": "json", "example": { "from": "2026-04-29", "to": "2026-05-28", "days": 30, "points": [ { "date": "2026-05-28", "model_count": 30, "dataset_count": 30, "space_count": 30, "models_entered": 2, "models_exited": 2, "datasets_entered": 1, "datasets_exited": 1, "top_models_by_download_delta": [ { "id": "meta-llama/Llama-4", "downloads": 9100000, "download_delta": 120000 } ], "top_datasets_by_download_delta": [], "top_spaces_by_likes_delta": [], "has_data": true } ], "window": { "top_model_gainers": [ { "id": "meta-llama/Llama-4", "downloads": 9100000, "download_delta": 540000 } ], "top_dataset_gainers": [], "model_count_start": 30, "model_count_end": 30 }, "attribution": { "source": "Hugging Face", "source_url": "https://huggingface.co/api/models", "license": "Public Hugging Face listing data, owned by HF and the respective repository owners.", "note": "Day-over-day velocity over the daily top-30 capture is TF-computed and cannot be backfilled." }, "notes": [], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Hugging Face download-velocity series", "description": "Daily Hugging Face download-velocity over a trailing window (default 30 days, max 90). Per-day top models and datasets by download delta, top Spaces by likes delta among the daily top-30, top-set entered and exited churn, plus window gainers (last minus first captured day). HF exposes only cumulative totals and a live top list, so this velocity is TensorFeed-computed and cannot be backfilled.", "tier": 1, "credits": 1, "category": "ai-hf-velocity-series" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "2026-04-29", "to": "2026-05-28" } }, "output": { "type": "json", "example": { "from": "2026-04-29", "to": "2026-05-28", "days": 30, "points": [ { "date": "2026-05-28", "model_count": 30, "dataset_count": 30, "space_count": 30, "models_entered": 2, "models_exited": 2, "datasets_entered": 1, "datasets_exited": 1, "top_models_by_download_delta": [ { "id": "meta-llama/Llama-4", "downloads": 9100000, "download_delta": 120000 } ], "top_datasets_by_download_delta": [], "top_spaces_by_likes_delta": [], "has_data": true } ], "window": { "top_model_gainers": [ { "id": "meta-llama/Llama-4", "downloads": 9100000, "download_delta": 540000 } ], "top_dataset_gainers": [], "model_count_start": 30, "model_count_end": 30 }, "attribution": { "source": "Hugging Face", "source_url": "https://huggingface.co/api/models", "license": "Public Hugging Face listing data, owned by HF and the respective repository owners.", "note": "Day-over-day velocity over the daily top-30 capture is TF-computed and cannot be backfilled." }, "notes": [], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object" } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/compare/models", "description": "Side-by-side comparison of 2-5 AI models. Returns pricing, benchmarks normalized to union-of-keys with explicit nulls, live provider status, recent news mentions, and per-benchmark rankings in one ready-to-rank payload.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ids": "opus-4-7,gpt-5-5,gemini-3" } }, "output": { "type": "json", "example": { "ok": true, "models": [ { "id": "opus-4-7", "name": "Claude Opus 4.7", "provider": "anthropic", "pricing": { "input": 15, "output": 75, "blended": 25 }, "benchmarks": { "swe_bench": 0.74, "mmlu_pro": 0.83, "gpqa_diamond": 0.68, "math": null, "human_eval": 0.94 }, "status": "operational", "news_count_30d": 12, "context_window": 200000 } ], "rankings": { "cheapest_blended": [ "gpt-5-5", "gemini-3", "opus-4-7" ], "widest_context": [ "gemini-3", "opus-4-7", "gpt-5-5" ], "per_benchmark": { "swe_bench": [ "opus-4-7", "gpt-5-5", "gemini-3" ] } }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Compare models", "description": "Side-by-side comparison of 2-5 AI models. Returns pricing, benchmarks normalized to union-of-keys with explicit nulls, live provider status, recent news mentions, and per-benchmark rankings in one ready-to-rank payload.", "tier": 1, "credits": 1, "category": "ai-model-comparison" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ids": "opus-4-7,gpt-5-5,gemini-3" } }, "output": { "type": "json", "example": { "ok": true, "models": [ { "id": "opus-4-7", "name": "Claude Opus 4.7", "provider": "anthropic", "pricing": { "input": 15, "output": 75, "blended": 25 }, "benchmarks": { "swe_bench": 0.74, "mmlu_pro": 0.83, "gpqa_diamond": 0.68, "math": null, "human_eval": 0.94 }, "status": "operational", "news_count_30d": 12, "context_window": 200000 } ], "rankings": { "cheapest_blended": [ "gpt-5-5", "gemini-3", "opus-4-7" ], "widest_context": [ "gemini-3", "opus-4-7", "gpt-5-5" ], "per_benchmark": { "swe_bench": [ "opus-4-7", "gpt-5-5", "gemini-3" ] } }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "ids": { "type": "string", "description": "Comma-separated list of 2 to 5 model ids or display names (e.g. \"opus-4-7,gpt-5-5,gemini-3\")." } }, "required": [ "ids" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/providers/{name}", "description": "Everything about one AI provider in one paid call: live status, all models with pricing + tier + benchmark scores joined, recent news, agent traffic. Aggregation over 4 free endpoints.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-04-27T00:00:00Z", "metadata": { "name": "Provider deep-dive", "description": "Everything about one AI provider in one paid call: live status, all models with pricing + tier + benchmark scores joined, recent news, agent traffic. Aggregation over 4 free endpoints.", "tier": 1, "credits": 1, "category": "ai-provider-deepdive" } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/cost/projection", "description": "Project the cost of a token-usage workload across 1-10 AI models. Returns daily, weekly, monthly, and yearly totals per model plus a ranking by cheapest monthly. The canonical \"given my workload, what would each model cost me\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "opus-4-7,gpt-5-5", "input_tokens_per_day": 1000000, "output_tokens_per_day": 200000, "horizon": "monthly" } }, "output": { "type": "json", "example": { "ok": true, "workload": { "input_tokens_per_day": 1000000, "output_tokens_per_day": 200000 }, "primary_horizon": "monthly", "projections": [ { "model": "Claude Opus 4.7", "provider": "anthropic", "matched": true, "rates": { "input_per_1m": 15, "output_per_1m": 75, "blended_per_1m": 25 }, "daily": { "input_cost": 15, "output_cost": 15, "total": 30 }, "weekly_total": 210, "monthly_total": 900, "yearly_total": 10950 } ], "ranking_by_monthly_cheapest": [ "gpt-5-5", "opus-4-7" ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cost projection", "description": "Project the cost of a token-usage workload across 1-10 AI models. Returns daily, weekly, monthly, and yearly totals per model plus a ranking by cheapest monthly. The canonical \"given my workload, what would each model cost me\" call.", "tier": 1, "credits": 1, "category": "ai-cost-projection" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "opus-4-7,gpt-5-5", "input_tokens_per_day": 1000000, "output_tokens_per_day": 200000, "horizon": "monthly" } }, "output": { "type": "json", "example": { "ok": true, "workload": { "input_tokens_per_day": 1000000, "output_tokens_per_day": 200000 }, "primary_horizon": "monthly", "projections": [ { "model": "Claude Opus 4.7", "provider": "anthropic", "matched": true, "rates": { "input_per_1m": 15, "output_per_1m": 75, "blended_per_1m": 25 }, "daily": { "input_cost": 15, "output_cost": 15, "total": 30 }, "weekly_total": 210, "monthly_total": 900, "yearly_total": 10950 } ], "ranking_by_monthly_cheapest": [ "gpt-5-5", "opus-4-7" ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "model": { "type": "string", "description": "Comma-separated list of 1 to 10 model ids or display names." }, "input_tokens_per_day": { "type": "integer", "minimum": 0, "description": "Input tokens per day for the workload." }, "output_tokens_per_day": { "type": "integer", "minimum": 0, "description": "Output tokens per day for the workload." }, "horizon": { "type": "string", "enum": [ "daily", "weekly", "monthly", "yearly" ], "description": "Primary horizon for the ranking (other horizons are still returned). Default monthly." } }, "required": [ "model", "input_tokens_per_day", "output_tokens_per_day" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/watches", "description": "Register a webhook watch on a price change or service status transition. HMAC-SHA256 signed POST deliveries. 90-day TTL, default fire cap 100, per-token cap 25.", "mimeType": "application/json" }, "type": "http", "method": "POST", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-04-27T00:00:00Z", "metadata": { "name": "Webhook watches", "description": "Register a webhook watch on a price change or service status transition. HMAC-SHA256 signed POST deliveries. 90-day TTL, default fire cap 100, per-token cap 25.", "tier": 1, "credits": 1, "category": "ai-webhooks", "input": { "spec": { "type": "price", "model": "Claude Opus 4.7", "field": "blended", "op": "lt", "threshold": 30 }, "callback_url": "https://your-agent.example.com/hook", "secret": "optional shared secret" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/funding/exposure", "description": "Derived structural metrics over the AI funding portfolio. Silicon-vendor concentration shares per investor, circular-loop classification (fully-circular / partial-loop / agnostic), co-investor pairs holding the same recipient, top recipients by inbound capital. The \"who is funding whose silicon\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "100000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": {} }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-23T05:00:00Z", "silicon_concentration": [ { "vendor": "Nvidia", "total_usd": 12500000000, "recipient_count": 18 }, { "vendor": "AMD", "total_usd": 3100000000, "recipient_count": 6 } ], "investor_loops": [ { "investor": "Microsoft", "classification": "fully-circular", "silicon_exposure_pct": 78 }, { "investor": "Andreessen Horowitz", "classification": "agnostic", "silicon_exposure_pct": 0 } ], "top_recipients": [ { "name": "OpenAI", "inbound_usd": 13000000000, "investor_count": 4 } ], "co_investor_pairs": [ { "a": "Microsoft", "b": "Nvidia", "shared_recipients": [ "OpenAI", "Mistral" ] } ], "billing": { "credits_charged": 3, "credits_remaining": 47 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "AI funding exposure metrics", "description": "Derived structural metrics over the AI funding portfolio. Silicon-vendor concentration shares per investor, circular-loop classification (fully-circular / partial-loop / agnostic), co-investor pairs holding the same recipient, top recipients by inbound capital. The \"who is funding whose silicon\" call.", "tier": 1, "credits": 5, "category": "ai-funding-exposure" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": {} }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-23T05:00:00Z", "silicon_concentration": [ { "vendor": "Nvidia", "total_usd": 12500000000, "recipient_count": 18 }, { "vendor": "AMD", "total_usd": 3100000000, "recipient_count": 6 } ], "investor_loops": [ { "investor": "Microsoft", "classification": "fully-circular", "silicon_exposure_pct": 78 }, { "investor": "Andreessen Horowitz", "classification": "agnostic", "silicon_exposure_pct": 0 } ], "top_recipients": [ { "name": "OpenAI", "inbound_usd": 13000000000, "investor_count": 4 } ], "co_investor_pairs": [ { "a": "Microsoft", "b": "Nvidia", "shared_recipients": [ "OpenAI", "Mistral" ] } ], "billing": { "credits_charged": 3, "credits_remaining": 47 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object" } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/research/authors", "description": "Top 100 AI researchers ranked by AI publication volume in the trailing 365 days, enriched with h-index, i10-index, total citation count, primary affiliation (institution + country), ORCID, and derived AI-share-of-total. OpenAlex CC0. 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The \"where to migrate workloads\" call.", "tier": 1, "credits": 1, "category": "ai-inference-arbitrage" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "family": "Meta", "min_savings_pct": 20 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T12:00:00Z", "filter": { "family": "Meta", "min_savings_pct": 20 }, "matrix_last_updated": "2026-05-24", "models_in_matrix": 3, "tracked_providers": [ "Together AI", "Fireworks", "DeepInfra", "Groq", "OpenRouter", "Replicate", "Anyscale", "DeepSeek", "GitHub Models" ], "models": [ { "modelId": "llama-4-scout", "modelName": "Llama 4 Scout", "family": "Meta", "paramsB": 109, "offer_count_paid": 6, "free_tier_offers": [], "cheapest_paid": { "provider": "DeepInfra", "blendedPrice": 0.355 }, "most_expensive_paid": { "provider": "Replicate", "blendedPrice": 0.425 }, "median_paid_blended": 0.385, "spread_usd": 0.07, "savings_pct": 16.47, "fastest_tps": { "provider": "Groq", "outputTPS": 950 }, "cheapest_with_tps": { "provider": "DeepInfra", "blendedPrice": 0.355, "outputTPS": 170 } } ], "top_arbitrage": [], "provider_rollup": [ { "provider": "DeepInfra", "appearances_paid": 5, "cheapest_count": 3, "top_tps_count": 0, "free_tier_count": 0, "value_score": 100 }, { "provider": "Groq", "appearances_paid": 3, "cheapest_count": 0, "top_tps_count": 2, "free_tier_count": 0, "value_score": 33 } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "family": { "type": "string", "description": "Case-insensitive substring filter on model family (Meta, DeepSeek, Mistral, Alibaba, Microsoft, ...)." }, "min_savings_pct": { "type": "number", "minimum": 0, "maximum": 100, "description": "Minimum savings_pct to include a model in the top_arbitrage array. Default 20." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-safety/incidents/exposure", "description": "AI safety incident exposure analytics. Per-developer and per-deployer incident counts with recency-weighted exposure_score (1.0 last 30d, 0.5 days 31-90, 0.25 older), risk_domain and SEP-view (Security/Ethics/Performance) distributions, top affected artifacts. Derived over the AVID (avidml/avid-db, MIT) snapshot refreshed daily. The \"which AI vendors have the most recent reported safety incidents\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "vendor": "OpenAI", "risk_domain": "Security", "within_days": 90 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T12:00:00Z", "snapshot_captured_at": "2026-05-24T03:00:00Z", "source": "avidml/avid-db", "source_license": "MIT", "filter": { "vendor": "OpenAI", "risk_domain": "Security", "within_days": 90 }, "window": { "window_days": 90, "cutoff_date": "2026-02-23" }, "entries_count": 12, "developers": [ { "vendor": "OpenAI", "role": "developer", "incident_count": 8, "recent_count_30d": 2, "exposure_score": 5.5, "risk_domains": [ "Ethics", "Security" ], "latest_report_id": "AVID-2026-R0481", "latest_reported_date": "2026-05-18" } ], "deployers": [], "risk_domains": [ { "risk_domain": "Security", "incident_count": 8, "recent_count_30d": 2 } ], "sep_view": [ { "sep_view": "S0403: Adversarial Example", "incident_count": 4 } ], "top_artifacts": [ { "name": "gpt-4o", "type": "Model", "incident_count": 3, "developers": [ "OpenAI" ] } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "AI safety incidents exposure", "description": "AI safety incident exposure analytics. Per-developer and per-deployer incident counts with recency-weighted exposure_score (1.0 last 30d, 0.5 days 31-90, 0.25 older), risk_domain and SEP-view (Security/Ethics/Performance) distributions, top affected artifacts. Derived over the AVID (avidml/avid-db, MIT) snapshot refreshed daily. The \"which AI vendors have the most recent reported safety incidents\" call.", "tier": 1, "credits": 1, "category": "ai-safety-exposure" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "vendor": "OpenAI", "risk_domain": "Security", "within_days": 90 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T12:00:00Z", "snapshot_captured_at": "2026-05-24T03:00:00Z", "source": "avidml/avid-db", "source_license": "MIT", "filter": { "vendor": "OpenAI", "risk_domain": "Security", "within_days": 90 }, "window": { "window_days": 90, "cutoff_date": "2026-02-23" }, "entries_count": 12, "developers": [ { "vendor": "OpenAI", "role": "developer", "incident_count": 8, "recent_count_30d": 2, "exposure_score": 5.5, "risk_domains": [ "Ethics", "Security" ], "latest_report_id": "AVID-2026-R0481", "latest_reported_date": "2026-05-18" } ], "deployers": [], "risk_domains": [ { "risk_domain": "Security", "incident_count": 8, "recent_count_30d": 2 } ], "sep_view": [ { "sep_view": "S0403: Adversarial Example", "incident_count": 4 } ], "top_artifacts": [ { "name": "gpt-4o", "type": "Model", "incident_count": 3, "developers": [ "OpenAI" ] } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "vendor": { "type": "string", "description": "Case-insensitive substring match against developer + deployer + artifact name." }, "risk_domain": { "type": "string", "description": "Case-insensitive substring match against AVID risk_domains (Security, Ethics, Performance, ...)." }, "within_days": { "type": "integer", "minimum": 7, "maximum": 730, "description": "Restrict to incidents reported in the last N days. Omit for full snapshot." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-safety/packages/security/radar", "description": "AI-package security radar. Per-package risk_score (0-100) over the daily OSV snapshot of curated AI/ML PyPI + npm packages: critical_count_30d * 25 + high_30d * 12 + critical_90d * 6 + high_90d * 3 + min(open_count, 20) + 5 if any advisory in last 7d, saturated to 100. Risk_band classifications (calm <10 / watch 10-25 / hot 25-50 / critical 50+) plus notable_movers (top-5 by_critical_30d, by_risk_score, new_in_last_7d). The \"which AI deps should I be worried about right now\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ecosystem": "PyPI", "category": "agent-framework", "min_risk_score": 10 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T12:00:00Z", "snapshot_captured_at": "2026-05-24T05:45:00Z", "source": "osv.dev", "filter": { "ecosystem": "PyPI", "category": "agent-framework", "min_risk_score": 10, "package": null }, "packages_in_snapshot": 8, "rows": [ { "package": "langchain", "ecosystem": "PyPI", "category": "agent-framework", "homepage": "https://langchain.com", "open_count": 3, "critical_count_30d": 1, "high_count_30d": 0, "critical_count_90d": 1, "high_count_90d": 2, "latest_advisory_id": "GHSA-xxxx-xxxx-2026", "latest_published": "2026-05-20", "days_since_latest": 4, "risk_score": 39, "risk_band": "hot", "recent_advisories": [] } ], "notable_movers": { "by_critical_30d": [], "by_risk_score": [], "new_in_last_7d": [] }, "summary": { "by_band": { "calm": 5, "watch": 2, "hot": 1, "critical": 0 }, "by_ecosystem": { "PyPI": 8, "npm": 0 }, "total_open_advisories": 12 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "AI-package security radar", "description": "AI-package security radar. Per-package risk_score (0-100) over the daily OSV snapshot of curated AI/ML PyPI + npm packages: critical_count_30d * 25 + high_30d * 12 + critical_90d * 6 + high_90d * 3 + min(open_count, 20) + 5 if any advisory in last 7d, saturated to 100. Risk_band classifications (calm <10 / watch 10-25 / hot 25-50 / critical 50+) plus notable_movers (top-5 by_critical_30d, by_risk_score, new_in_last_7d). The \"which AI deps should I be worried about right now\" call.", "tier": 1, "credits": 1, "category": "ai-package-security" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ecosystem": "PyPI", "category": "agent-framework", "min_risk_score": 10 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T12:00:00Z", "snapshot_captured_at": "2026-05-24T05:45:00Z", "source": "osv.dev", "filter": { "ecosystem": "PyPI", "category": "agent-framework", "min_risk_score": 10, "package": null }, "packages_in_snapshot": 8, "rows": [ { "package": "langchain", "ecosystem": "PyPI", "category": "agent-framework", "homepage": "https://langchain.com", "open_count": 3, "critical_count_30d": 1, "high_count_30d": 0, "critical_count_90d": 1, "high_count_90d": 2, "latest_advisory_id": "GHSA-xxxx-xxxx-2026", "latest_published": "2026-05-20", "days_since_latest": 4, "risk_score": 39, "risk_band": "hot", "recent_advisories": [] } ], "notable_movers": { "by_critical_30d": [], "by_risk_score": [], "new_in_last_7d": [] }, "summary": { "by_band": { "calm": 5, "watch": 2, "hot": 1, "critical": 0 }, "by_ecosystem": { "PyPI": 8, "npm": 0 }, "total_open_advisories": 12 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "ecosystem": { "type": "string", "enum": [ "PyPI", "npm" ] }, "category": { "type": "string", "description": "Case-insensitive substring match against curated category (llm-sdk, agent-framework, rag, ...)." }, "package": { "type": "string", "description": "Case-insensitive substring match against package name." }, "min_risk_score": { "type": "number", "minimum": 0, "maximum": 100, "description": "Minimum risk_score to include in the headline rows array. 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The \"what AI deps just changed and is it breaking\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ecosystem": "PyPI", "category": "agent-framework", "min_releases_7d": 1 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:35:00Z", "snapshot_captured_at": "2026-05-24T18:35:00Z", "filter": { "ecosystem": "PyPI", "category": "agent-framework", "package": null, "min_releases_7d": 1 }, "packages_in_snapshot": 12, "rows": [ { "package": "langchain", "ecosystem": "PyPI", "category": "agent-framework", "homepage": "https://langchain.com", "latest_version": "0.4.0", "latest_published_at": "2026-05-23T19:14:11Z", "days_since_latest": 1, "releases_24h": 1, "releases_7d": 3, "releases_30d": 9, "versions_known_total": 412, "latest_bump_kind": "major", "previous_version": "0.3.27", "is_breaking_recent": true } ], "notable_movers": { "recent_major_bumps": [], "most_releases_7d": [], "fastest_cadence_30d": [] }, "summary": { "by_ecosystem": { "PyPI": 12, "npm": 0 }, "by_category": { "agent-framework": 12 }, "by_bump_kind": { "major": 1, "minor": 4, "patch": 5, "prerelease": 1, "sideways": 0, "unknown": 1 }, "total_releases_7d": 18, "total_releases_30d": 47, "breaking_changes_30d": 2 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "AI-package release velocity", "description": "AI-package release velocity. Per-package releases_24h / releases_7d / releases_30d, latest bump classification (major/minor/patch/prerelease, pre-1.0 minor counts as major per semver), is_breaking_recent flag (major bump within 30 days). Notable movers: recent_major_bumps, most_releases_7d, fastest_cadence_30d. Filter by ecosystem (PyPI/npm), category (llm-sdk, agent-framework, etc), or package substring. The \"what AI deps just changed and is it breaking\" call.", "tier": 1, "credits": 1, "category": "package-release-velocity" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ecosystem": "PyPI", "category": "agent-framework", "min_releases_7d": 1 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:35:00Z", "snapshot_captured_at": "2026-05-24T18:35:00Z", "filter": { "ecosystem": "PyPI", "category": "agent-framework", "package": null, "min_releases_7d": 1 }, "packages_in_snapshot": 12, "rows": [ { "package": "langchain", "ecosystem": "PyPI", "category": "agent-framework", "homepage": "https://langchain.com", "latest_version": "0.4.0", "latest_published_at": "2026-05-23T19:14:11Z", "days_since_latest": 1, "releases_24h": 1, "releases_7d": 3, "releases_30d": 9, "versions_known_total": 412, "latest_bump_kind": "major", "previous_version": "0.3.27", "is_breaking_recent": true } ], "notable_movers": { "recent_major_bumps": [], "most_releases_7d": [], "fastest_cadence_30d": [] }, "summary": { "by_ecosystem": { "PyPI": 12, "npm": 0 }, "by_category": { "agent-framework": 12 }, "by_bump_kind": { "major": 1, "minor": 4, "patch": 5, "prerelease": 1, "sideways": 0, "unknown": 1 }, "total_releases_7d": 18, "total_releases_30d": 47, "breaking_changes_30d": 2 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "ecosystem": { "type": "string", "enum": [ "PyPI", "npm" ] }, "category": { "type": "string", "description": "Case-insensitive substring match against curated category (llm-sdk, agent-framework, rag, ...)." }, "package": { "type": "string", "description": "Case-insensitive substring match against package name." }, "min_releases_7d": { "type": "integer", "minimum": 0, "maximum": 100, "description": "Minimum releases-in-window for the headline rows array. Default 1." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-velocity", "description": "AI velocity cross-surface signal. First AFTA federation cross-call: TensorFeed derives an AI cohort from TerminalFeed's HF + GitHub trending leaderboards with per-entry traction_score, cross-pollination (names appearing on BOTH leaderboards = higher confidence), and rollups by HF pipeline + GitHub language. Filters: pipeline, language, min_traction, cross_only.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "pipeline": "text-generation", "language": "Python", "min_traction": 50, "cross_only": false } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:00:00Z", "snapshot_captured_at": "2026-05-24T17:42:00Z", "source": "terminalfeed.io federation cross-call", "filter": { "pipeline": "text-generation", "language": "Python", "min_traction": 50, "cross_only": false }, "cohort_size": { "hf": 15, "github": 15, "cross_pollinated": 3 }, "hf_top": [ { "id": "meta-llama/Llama-4-8B", "author": "meta-llama", "name": "Llama-4-8B", "likes": 4120, "downloads": 2840000, "pipeline": "text-generation", "url": "https://huggingface.co/meta-llama/Llama-4-8B", "updated": "2026-05-22", "normalized_name": "llama-4-8b", "traction_score": 12424.5, "on_both": true } ], "github_top": [ { "name": "llama.cpp", "fullName": "ggerganov/llama.cpp", "description": "LLM inference in C/C++", "language": "C++", "stars": 78420, "url": "https://github.com/ggerganov/llama.cpp", "matched_markers": [ "llm", "inference engine" ], "normalized_name": "llama.cpp", "traction_score": 146.9, "on_both": false } ], "cross_pollinated": [ { "normalized_name": "llama-4-8b", "hf": { "id": "meta-llama/Llama-4-8B", "name": "Llama-4-8B", "likes": 4120, "downloads": 2840000, "url": "https://huggingface.co/meta-llama/Llama-4-8B" }, "github": { "fullName": "meta-llama/Llama-4-8B", "stars": 5200, "language": "Python", "url": "https://github.com/meta-llama/Llama-4-8B" }, "combined_traction": 12537.2 } ], "summary": { "hf_by_pipeline": { "text-generation": 12, "image-text-to-text": 3 }, "github_by_language": { "Python": 9, "C++": 3, "TypeScript": 3 }, "total_hf_likes": 18500, "total_github_stars": 245000 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "AI velocity (federation cross-call)", "description": "AI velocity cross-surface signal. First AFTA federation cross-call: TensorFeed derives an AI cohort from TerminalFeed's HF + GitHub trending leaderboards with per-entry traction_score, cross-pollination (names appearing on BOTH leaderboards = higher confidence), and rollups by HF pipeline + GitHub language. Filters: pipeline, language, min_traction, cross_only.", "tier": 1, "credits": 1, "category": "ai-velocity-cross-surface" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "pipeline": "text-generation", "language": "Python", "min_traction": 50, "cross_only": false } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:00:00Z", "snapshot_captured_at": "2026-05-24T17:42:00Z", "source": "terminalfeed.io federation cross-call", "filter": { "pipeline": "text-generation", "language": "Python", "min_traction": 50, "cross_only": false }, "cohort_size": { "hf": 15, "github": 15, "cross_pollinated": 3 }, "hf_top": [ { "id": "meta-llama/Llama-4-8B", "author": "meta-llama", "name": "Llama-4-8B", "likes": 4120, "downloads": 2840000, "pipeline": "text-generation", "url": "https://huggingface.co/meta-llama/Llama-4-8B", "updated": "2026-05-22", "normalized_name": "llama-4-8b", "traction_score": 12424.5, "on_both": true } ], "github_top": [ { "name": "llama.cpp", "fullName": "ggerganov/llama.cpp", "description": "LLM inference in C/C++", "language": "C++", "stars": 78420, "url": "https://github.com/ggerganov/llama.cpp", "matched_markers": [ "llm", "inference engine" ], "normalized_name": "llama.cpp", "traction_score": 146.9, "on_both": false } ], "cross_pollinated": [ { "normalized_name": "llama-4-8b", "hf": { "id": "meta-llama/Llama-4-8B", "name": "Llama-4-8B", "likes": 4120, "downloads": 2840000, "url": "https://huggingface.co/meta-llama/Llama-4-8B" }, "github": { "fullName": "meta-llama/Llama-4-8B", "stars": 5200, "language": "Python", "url": "https://github.com/meta-llama/Llama-4-8B" }, "combined_traction": 12537.2 } ], "summary": { "hf_by_pipeline": { "text-generation": 12, "image-text-to-text": 3 }, "github_by_language": { "Python": 9, "C++": 3, "TypeScript": 3 }, "total_hf_likes": 18500, "total_github_stars": 245000 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "pipeline": { "type": "string", "description": "Case-insensitive substring match against HuggingFace pipeline tag." }, "language": { "type": "string", "description": "Case-insensitive substring match against GitHub repo primary language." }, "min_traction": { "type": "number", "minimum": 0, "maximum": 10000, "description": "Minimum traction_score to include in headline arrays. Default 0." }, "cross_only": { "type": "boolean", "description": "When true, return only items with on_both=true. Default false." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-crypto-pulse", "description": "AI-thesis token pulse: joins price moves with venue-weighted perp funding-rate skew. Per-token setup classification (squeeze_up = rising + negative funding = shorts trapped; chase_up = rising + positive funding = leverage mean-reversion risk; squeeze_down; chase_down; coiled = flat + extreme funding). Notable movers cohort + breadth + median change summary. Filters: token substring, setup kind, min_abs_change_pct.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "token": "TAO", "setup": "squeeze_up", "min_abs_change_pct": 1 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:00:00Z", "snapshot_captured_at": "2026-05-24T17:57:00Z", "source": "terminalfeed.io federation cross-call", "filter": { "token": "TAO", "setup": "squeeze_up", "min_abs_change_pct": 1 }, "cohort": { "cohort_size": 1, "movers_seen": 6, "funding_seen": 4, "failed_venues": [] }, "rows": [ { "symbol": "TAO", "display_name": "Bittensor", "thesis": "decentralized ML training network", "price_usd": 412.5, "change_24h_percent": 8.4, "market_cap": 3700000000, "funding_venue_count": 3, "funding_median_annualized_pct": -28.5, "funding_venue_spread_pct": 6.2, "funding_by_venue": [ { "venue": "binance", "annualized_pct": -25.4, "period_rate": -0.000232, "mark_price": 412.4 }, { "venue": "bybit", "annualized_pct": -28.5, "period_rate": -0.000261, "mark_price": 412.5 }, { "venue": "hyperliquid", "annualized_pct": -31.6, "period_rate": -0.000289, "mark_price": 412.6 } ], "setup": "squeeze_up" } ], "notable_movers": { "squeezes_up": [], "squeezes_down": [], "coiled": [], "top_gainers": [], "top_losers": [] }, "summary": { "by_setup": { "squeeze_up": 1, "chase_up": 0, "squeeze_down": 0, "chase_down": 0, "coiled": 0, "neutral": 0 }, "breadth_pct_positive": 100, "median_change_24h_pct": 8.4 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "AI-thesis crypto pulse", "description": "AI-thesis token pulse: joins price moves with venue-weighted perp funding-rate skew. Per-token setup classification (squeeze_up = rising + negative funding = shorts trapped; chase_up = rising + positive funding = leverage mean-reversion risk; squeeze_down; chase_down; coiled = flat + extreme funding). Notable movers cohort + breadth + median change summary. Filters: token substring, setup kind, min_abs_change_pct.", "tier": 1, "credits": 1, "category": "ai-crypto-funding" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "token": "TAO", "setup": "squeeze_up", "min_abs_change_pct": 1 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:00:00Z", "snapshot_captured_at": "2026-05-24T17:57:00Z", "source": "terminalfeed.io federation cross-call", "filter": { "token": "TAO", "setup": "squeeze_up", "min_abs_change_pct": 1 }, "cohort": { "cohort_size": 1, "movers_seen": 6, "funding_seen": 4, "failed_venues": [] }, "rows": [ { "symbol": "TAO", "display_name": "Bittensor", "thesis": "decentralized ML training network", "price_usd": 412.5, "change_24h_percent": 8.4, "market_cap": 3700000000, "funding_venue_count": 3, "funding_median_annualized_pct": -28.5, "funding_venue_spread_pct": 6.2, "funding_by_venue": [ { "venue": "binance", "annualized_pct": -25.4, "period_rate": -0.000232, "mark_price": 412.4 }, { "venue": "bybit", "annualized_pct": -28.5, "period_rate": -0.000261, "mark_price": 412.5 }, { "venue": "hyperliquid", "annualized_pct": -31.6, "period_rate": -0.000289, "mark_price": 412.6 } ], "setup": "squeeze_up" } ], "notable_movers": { "squeezes_up": [], "squeezes_down": [], "coiled": [], "top_gainers": [], "top_losers": [] }, "summary": { "by_setup": { "squeeze_up": 1, "chase_up": 0, "squeeze_down": 0, "chase_down": 0, "coiled": 0, "neutral": 0 }, "breadth_pct_positive": 100, "median_change_24h_pct": 8.4 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "token": { "type": "string", "description": "Case-insensitive substring match against symbol or display_name (TAO, Bittensor, etc)." }, "setup": { "type": "string", "enum": [ "squeeze_up", "chase_up", "squeeze_down", "chase_down", "coiled", "neutral" ] }, "min_abs_change_pct": { "type": "number", "minimum": 0, "maximum": 1000, "description": "Minimum |change_24h_percent| to include in rows. Default 0." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/coding-harnesses/weekly-deltas", "description": "Agentic-coding harness weekly deltas. Compares current TerminalFeed harness leaderboard snapshot (SWE-bench Verified, Terminal-Bench, Aider Polyglot, etc) to a prior snapshot. Per-(benchmark, harness, model) score + rank deltas with change_kind classification (gained / regressed / entered / exited / unchanged). Notable movers (biggest_gainers, biggest_regressions, entered, exited), per-benchmark leader_cards with leader_changed flag, summary rollups. Filters: days_back (1-90, default 7), harness, benchmark, model, min_abs_delta.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "days_back": 7, "harness": "Claude Code", "benchmark": "swe-bench-verified", "min_abs_delta": 1 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:00:00Z", "current_captured_at": "2026-05-24T05:25:00Z", "prior_captured_at": "2026-05-17T05:25:00Z", "days_between_snapshots": 7, "source": "terminalfeed.io federation cross-call", "filter": { "days_back": 7, "harness": "Claude Code", "benchmark": "swe-bench-verified", "model": null, "min_abs_delta": 1 }, "cohort": { "rows_total": 84, "rows_filtered": 6, "benchmarks_in_window": 4 }, "rows": [ { "benchmark": "swe-bench-verified", "harness": "Claude Code", "model": "Claude Opus 4.7", "current_score": 74.2, "prior_score": 72.1, "delta": 2.1, "current_rank": 1, "prior_rank": 1, "rank_delta": 0, "change_kind": "gained" } ], "notable_movers": { "biggest_gainers": [], "biggest_regressions": [], "entered": [], "exited": [] }, "leader_cards": [ { "benchmark": "swe-bench-verified", "current_leader": { "harness": "Claude Code", "model": "Claude Opus 4.7", "score": 74.2 }, "prior_leader": { "harness": "Claude Code", "model": "Claude Opus 4.7", "score": 72.1 }, "leader_changed": false } ], "summary": { "by_change_kind": { "unchanged": 0, "gained": 6, "regressed": 0, "entered": 0, "exited": 0 }, "benchmarks_with_new_leader": 0 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Coding-harness weekly deltas", "description": "Agentic-coding harness weekly deltas. Compares current TerminalFeed harness leaderboard snapshot (SWE-bench Verified, Terminal-Bench, Aider Polyglot, etc) to a prior snapshot. Per-(benchmark, harness, model) score + rank deltas with change_kind classification (gained / regressed / entered / exited / unchanged). Notable movers (biggest_gainers, biggest_regressions, entered, exited), per-benchmark leader_cards with leader_changed flag, summary rollups. Filters: days_back (1-90, default 7), harness, benchmark, model, min_abs_delta.", "tier": 1, "credits": 1, "category": "coding-harness-deltas" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "days_back": 7, "harness": "Claude Code", "benchmark": "swe-bench-verified", "min_abs_delta": 1 } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:00:00Z", "current_captured_at": "2026-05-24T05:25:00Z", "prior_captured_at": "2026-05-17T05:25:00Z", "days_between_snapshots": 7, "source": "terminalfeed.io federation cross-call", "filter": { "days_back": 7, "harness": "Claude Code", "benchmark": "swe-bench-verified", "model": null, "min_abs_delta": 1 }, "cohort": { "rows_total": 84, "rows_filtered": 6, "benchmarks_in_window": 4 }, "rows": [ { "benchmark": "swe-bench-verified", "harness": "Claude Code", "model": "Claude Opus 4.7", "current_score": 74.2, "prior_score": 72.1, "delta": 2.1, "current_rank": 1, "prior_rank": 1, "rank_delta": 0, "change_kind": "gained" } ], "notable_movers": { "biggest_gainers": [], "biggest_regressions": [], "entered": [], "exited": [] }, "leader_cards": [ { "benchmark": "swe-bench-verified", "current_leader": { "harness": "Claude Code", "model": "Claude Opus 4.7", "score": 74.2 }, "prior_leader": { "harness": "Claude Code", "model": "Claude Opus 4.7", "score": 72.1 }, "leader_changed": false } ], "summary": { "by_change_kind": { "unchanged": 0, "gained": 6, "regressed": 0, "entered": 0, "exited": 0 }, "benchmarks_with_new_leader": 0 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "days_back": { "type": "integer", "minimum": 1, "maximum": 90, "description": "Days back to fetch the comparison snapshot. Default 7." }, "harness": { "type": "string", "description": "Case-insensitive substring match against harness name." }, "benchmark": { "type": "string", "description": "Case-insensitive substring match against benchmark id." }, "model": { "type": "string", "description": "Case-insensitive substring match against model name." }, "min_abs_delta": { "type": "number", "minimum": 0, "maximum": 100, "description": "Minimum |score delta| for the headline rows array. Default 0; entered/exited rows always included." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/news/action-cards", "description": "AI news action cards. For each article in the daily TF news feed, Haiku 4.5 produces a structured agent action card answering \"what should an AI agent or operator DO in response to this.\" Per card: action_summary (1-2 sentences), migration_recommendation (string or null), affected_capability (model / pricing / safety / framework / infrastructure / tooling / policy / ecosystem), cost_impact, security_impact, urgency. Filters: capability + urgency exact-match, min_cost_impact + min_security_impact threshold, title/source query. Sort priority: urgency > security > cost > recency.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "capability": "model", "urgency": "immediate", "min_cost_impact": "medium" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:00:00Z", "snapshot_captured_at": "2026-05-24T08:00:00Z", "source": "tensorfeed.ai news + Claude Haiku 4.5", "filter": { "capability": "model", "min_cost_impact": "medium", "min_security_impact": "none", "urgency": "immediate", "query": null }, "cohort": { "articles_considered": 50, "cards_in_snapshot": 47, "cards_filtered": 3 }, "cards": [ { "article_id": "a1b2c3", "article_title": "Anthropic deprecates Claude 3 Sonnet effective July 21", "article_url": "https://example.com/claude-3-sonnet-deprecated", "article_source": "Anthropic", "article_published_at": "2026-05-23T15:00:00Z", "action_summary": "Migrate any agent still on claude-3-sonnet-20240229 to claude-haiku-4-5 or claude-opus-4-7 before July 21 to avoid silent 410 responses.", "migration_recommendation": "claude-haiku-4-5-20251001 for cost-sensitive paths; claude-opus-4-7 for quality-critical paths", "affected_capability": "model", "cost_impact": "high", "security_impact": "low", "urgency": "immediate", "generated_at": "2026-05-24T08:00:00Z" } ], "summary": { "by_capability": { "pricing": 0, "model": 3, "safety": 0, "framework": 0, "infrastructure": 0, "tooling": 0, "policy": 0, "ecosystem": 0 }, "by_urgency": { "immediate": 3, "this_week": 0, "fyi": 0 }, "by_cost_impact": { "none": 0, "low": 0, "medium": 1, "high": 2 }, "by_security_impact": { "none": 0, "low": 3, "medium": 0, "high": 0 }, "cards_with_migration_recommendation": 2 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "News action cards (Haiku-derived)", "description": "AI news action cards. For each article in the daily TF news feed, Haiku 4.5 produces a structured agent action card answering \"what should an AI agent or operator DO in response to this.\" Per card: action_summary (1-2 sentences), migration_recommendation (string or null), affected_capability (model / pricing / safety / framework / infrastructure / tooling / policy / ecosystem), cost_impact, security_impact, urgency. Filters: capability + urgency exact-match, min_cost_impact + min_security_impact threshold, title/source query. Sort priority: urgency > security > cost > recency.", "tier": 1, "credits": 1, "category": "news-action-cards" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "capability": "model", "urgency": "immediate", "min_cost_impact": "medium" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:00:00Z", "snapshot_captured_at": "2026-05-24T08:00:00Z", "source": "tensorfeed.ai news + Claude Haiku 4.5", "filter": { "capability": "model", "min_cost_impact": "medium", "min_security_impact": "none", "urgency": "immediate", "query": null }, "cohort": { "articles_considered": 50, "cards_in_snapshot": 47, "cards_filtered": 3 }, "cards": [ { "article_id": "a1b2c3", "article_title": "Anthropic deprecates Claude 3 Sonnet effective July 21", "article_url": "https://example.com/claude-3-sonnet-deprecated", "article_source": "Anthropic", "article_published_at": "2026-05-23T15:00:00Z", "action_summary": "Migrate any agent still on claude-3-sonnet-20240229 to claude-haiku-4-5 or claude-opus-4-7 before July 21 to avoid silent 410 responses.", "migration_recommendation": "claude-haiku-4-5-20251001 for cost-sensitive paths; claude-opus-4-7 for quality-critical paths", "affected_capability": "model", "cost_impact": "high", "security_impact": "low", "urgency": "immediate", "generated_at": "2026-05-24T08:00:00Z" } ], "summary": { "by_capability": { "pricing": 0, "model": 3, "safety": 0, "framework": 0, "infrastructure": 0, "tooling": 0, "policy": 0, "ecosystem": 0 }, "by_urgency": { "immediate": 3, "this_week": 0, "fyi": 0 }, "by_cost_impact": { "none": 0, "low": 0, "medium": 1, "high": 2 }, "by_security_impact": { "none": 0, "low": 3, "medium": 0, "high": 0 }, "cards_with_migration_recommendation": 2 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "capability": { "type": "string", "enum": [ "pricing", "model", "safety", "framework", "infrastructure", "tooling", "policy", "ecosystem" ] }, "urgency": { "type": "string", "enum": [ "immediate", "this_week", "fyi" ] }, "min_cost_impact": { "type": "string", "enum": [ "none", "low", "medium", "high" ] }, "min_security_impact": { "type": "string", "enum": [ "none", "low", "medium", "high" ] }, "query": { "type": "string", "description": "Case-insensitive substring match against article_title and article_source." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/status/incidents/triage", "description": "AI provider incident triage. For each open or recently-resolved incident across Anthropic, OpenAI, Google, Mistral, Cohere, etc., Haiku 4.5 produces a structured triage card. Per card: triage_summary (1-2 sentences), impact_classification (informational / minor / major / critical), affected_capabilities (inference / training / embeddings / console / billing / fine-tuning / api-keys / tooling), recommended_action (no_action / monitor / retry_later / failover_now / escalate). Filters: provider substring, impact + recommended_action + capability exact-match, ongoing_only.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "provider": "OpenAI", "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:15:00Z", "snapshot_captured_at": "2026-05-24T18:15:00Z", "source": "tensorfeed.ai status incidents + Claude Haiku 4.5", "filter": { "provider": "OpenAI", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "incident_id": "openai-2026-05-24-001", "provider": "openai", "service": "API", "title": "Elevated latency for ChatGPT and GPT-4 Turbo", "severity": "major", "started_at": "2026-05-24T17:42:00Z", "resolved_at": null, "ongoing": true, "triage_summary": "OpenAI API experiencing 5% elevated latency for ChatGPT and GPT-4 Turbo; Assistants API and Files unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later", "generated_at": "2026-05-24T18:15:00Z" } ], "summary": { "by_provider": { "openai": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "by_capability": { "inference": 1, "training": 0, "embeddings": 0, "console": 0, "billing": 0, "fine-tuning": 0, "api-keys": 0, "tooling": 0 }, "cards_with_failover_action": 0 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Status incident triage (Haiku-derived)", "description": "AI provider incident triage. For each open or recently-resolved incident across Anthropic, OpenAI, Google, Mistral, Cohere, etc., Haiku 4.5 produces a structured triage card. Per card: triage_summary (1-2 sentences), impact_classification (informational / minor / major / critical), affected_capabilities (inference / training / embeddings / console / billing / fine-tuning / api-keys / tooling), recommended_action (no_action / monitor / retry_later / failover_now / escalate). Filters: provider substring, impact + recommended_action + capability exact-match, ongoing_only.", "tier": 1, "credits": 1, "category": "status-incident-triage" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "provider": "OpenAI", "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-24T18:15:00Z", "snapshot_captured_at": "2026-05-24T18:15:00Z", "source": "tensorfeed.ai status incidents + Claude Haiku 4.5", "filter": { "provider": "OpenAI", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "incident_id": "openai-2026-05-24-001", "provider": "openai", "service": "API", "title": "Elevated latency for ChatGPT and GPT-4 Turbo", "severity": "major", "started_at": "2026-05-24T17:42:00Z", "resolved_at": null, "ongoing": true, "triage_summary": "OpenAI API experiencing 5% elevated latency for ChatGPT and GPT-4 Turbo; Assistants API and Files unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later", "generated_at": "2026-05-24T18:15:00Z" } ], "summary": { "by_provider": { "openai": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "by_capability": { "inference": 1, "training": 0, "embeddings": 0, "console": 0, "billing": 0, "fine-tuning": 0, "api-keys": 0, "tooling": 0 }, "cards_with_failover_action": 0 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "provider": { "type": "string", "description": "Case-insensitive substring match against provider name." }, "impact": { "type": "string", "enum": [ "informational", "minor", "major", "critical" ] }, "recommended_action": { "type": "string", "enum": [ "no_action", "monitor", "retry_later", "failover_now", "escalate" ] }, "capability": { "type": "string", "enum": [ "inference", "training", "embeddings", "console", "billing", "fine-tuning", "api-keys", "tooling" ] }, "ongoing_only": { "type": "boolean", "description": "When true, exclude resolved incidents. Default false." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/clean/cve/CVE-2021-44228", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "source_format": "mitre_cve_v5_2", "target_format": "tensorfeed_llm_ready_v1", "cve_id": "CVE-2024-3094", "severity_band": "critical", "cwes": [ "CWE-506" ], "affected_products": [ "xz-utils" ], "references_top_5": [ "https://nvd.nist.gov/vuln/detail/CVE-2024-3094" ], "attribution": { "source": "MITRE CVE List v5.2", "license": "Terms of Use" } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "CVE record (LLM-ready): CVE-2021-44228 (Log4Shell)", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-cleaner-mitre" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "source_format": "mitre_cve_v5_2", "target_format": "tensorfeed_llm_ready_v1", "cve_id": "CVE-2024-3094", "severity_band": "critical", "cwes": [ "CWE-506" ], "affected_products": [ "xz-utils" ], "references_top_5": [ "https://nvd.nist.gov/vuln/detail/CVE-2024-3094" ], "attribution": { "source": "MITRE CVE List v5.2", "license": "Terms of Use" } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form. Case-insensitive." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/clean/cve/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/clean/cve/CVE-2024-3094", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "source_format": "mitre_cve_v5_2", "target_format": "tensorfeed_llm_ready_v1", "cve_id": "CVE-2024-3094", "severity_band": "critical", "cwes": [ "CWE-506" ], "affected_products": [ "xz-utils" ], "references_top_5": [ "https://nvd.nist.gov/vuln/detail/CVE-2024-3094" ], "attribution": { "source": "MITRE CVE List v5.2", "license": "Terms of Use" } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "CVE record (LLM-ready): CVE-2024-3094 (xz-utils backdoor)", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-cleaner-mitre" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "source_format": "mitre_cve_v5_2", "target_format": "tensorfeed_llm_ready_v1", "cve_id": "CVE-2024-3094", "severity_band": "critical", "cwes": [ "CWE-506" ], "affected_products": [ "xz-utils" ], "references_top_5": [ "https://nvd.nist.gov/vuln/detail/CVE-2024-3094" ], "attribution": { "source": "MITRE CVE List v5.2", "license": "Terms of Use" } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form. Case-insensitive." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/clean/cve/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/clean/cve/CVE-2017-0144", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "source_format": "mitre_cve_v5_2", "target_format": "tensorfeed_llm_ready_v1", "cve_id": "CVE-2024-3094", "severity_band": "critical", "cwes": [ "CWE-506" ], "affected_products": [ "xz-utils" ], "references_top_5": [ "https://nvd.nist.gov/vuln/detail/CVE-2024-3094" ], "attribution": { "source": "MITRE CVE List v5.2", "license": "Terms of Use" } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "CVE record (LLM-ready): CVE-2017-0144 (EternalBlue)", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-cleaner-mitre" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "source_format": "mitre_cve_v5_2", "target_format": "tensorfeed_llm_ready_v1", "cve_id": "CVE-2024-3094", "severity_band": "critical", "cwes": [ "CWE-506" ], "affected_products": [ "xz-utils" ], "references_top_5": [ "https://nvd.nist.gov/vuln/detail/CVE-2024-3094" ], "attribution": { "source": "MITRE CVE List v5.2", "license": "Terms of Use" } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form. Case-insensitive." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/clean/cve/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/clean/cve/CVE-2014-0160", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "source_format": "mitre_cve_v5_2", "target_format": "tensorfeed_llm_ready_v1", "cve_id": "CVE-2024-3094", "severity_band": "critical", "cwes": [ "CWE-506" ], "affected_products": [ "xz-utils" ], "references_top_5": [ "https://nvd.nist.gov/vuln/detail/CVE-2024-3094" ], "attribution": { "source": "MITRE CVE List v5.2", "license": "Terms of Use" } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "CVE record (LLM-ready): CVE-2014-0160 (Heartbleed)", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. 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Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cross-database CVE verified: CVE-2024-3094 (xz-utils backdoor)", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-corroborated" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/security/verified/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/CVE-2017-0144", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cross-database CVE verified: CVE-2017-0144 (EternalBlue)", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-corroborated" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/security/verified/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/CVE-2014-0160", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cross-database CVE verified: CVE-2014-0160 (Heartbleed)", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-corroborated" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/security/verified/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/CVE-2021-34527", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cross-database CVE verified: CVE-2021-34527 (PrintNightmare)", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-corroborated" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/security/verified/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/CVE-2019-0708", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cross-database CVE verified: CVE-2019-0708 (BlueKeep)", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-corroborated" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/security/verified/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/CVE-2021-26855", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cross-database CVE verified: CVE-2021-26855 (ProxyLogon)", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-corroborated" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/security/verified/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/CVE-2020-1472", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cross-database CVE verified: CVE-2020-1472 (Zerologon)", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-corroborated" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/security/verified/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/CVE-2022-22965", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Cross-database CVE verified: CVE-2022-22965 (Spring4Shell)", "description": "Cross-database CVE verification. Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. 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The single-call lookup an agent makes when it needs everything about a specific provider.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Provider digest: Anthropic", "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. 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Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "tier": 1, "credits": 1, "category": "ai-provider-digest" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "name": { "type": "string", "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). 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Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "tier": 1, "credits": 1, "category": "ai-provider-digest" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "name": { "type": "string", "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). 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The single-call lookup an agent makes when it needs everything about a specific provider.", "tier": 1, "credits": 1, "category": "ai-provider-digest" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "name": { "type": "string", "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). 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The single-call lookup an agent makes when it needs everything about a specific provider.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Provider digest: DeepSeek", "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "tier": 1, "credits": 1, "category": "ai-provider-digest" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "name": { "type": "string", "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive." } }, "required": [ "name" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/providers/:name" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/providers/xai", "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Provider digest: xAI", "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "tier": 1, "credits": 1, "category": "ai-provider-digest" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "name": { "type": "string", "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive." } }, "required": [ "name" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/providers/:name" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/providers/microsoft", "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Provider digest: Microsoft", "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "tier": 1, "credits": 1, "category": "ai-provider-digest" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "name": { "type": "string", "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive." } }, "required": [ "name" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/providers/:name" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/providers/amazon", "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } } } ], "lastUpdated": "2026-05-31T00:00:00Z", "metadata": { "name": "Provider digest: Amazon Bedrock", "description": "Per-provider digest. Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "tier": 1, "credits": 1, "category": "ai-provider-digest" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "name": { "type": "string", "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). Case-insensitive." } }, "required": [ "name" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/providers/:name" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-companies/NVDA", "description": "Per-ticker AI intelligence envelope for the 14 AI bellwethers (NVDA, AMD, AVGO, TSM, ARM, MSFT, GOOGL, AMZN, ORCL, PLTR, SMCI, AAPL, META, TSLA). Composes latest 10 SEC filings, latest 10 AI-tagged news mentions filtered by curated aliases, strategic and equity funding rounds where the company is a lead or notable investor, and cohort metadata into one paid call. Single captured-at timestamp, 9h freshness SLA.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-05-27T00:00:00Z", "metadata": { "name": "AI Companies: per-ticker intelligence envelope", "description": "Per-ticker AI intelligence envelope for the 14 AI bellwethers. One paid call returns latest 10 SEC filings, 10 alias-filtered news mentions, funding rounds where the company is a lead or notable investor, and cohort metadata. Shipped the same day Robinhood Agentic Trading + Agentic Credit Card launched.", "tier": 1, "credits": 1, "category": "ai-public-equity-intelligence" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "ticker": "NVDA" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-27T18:00:00Z", "ticker": "NVDA", "cohort_size": 14, "company": { "ticker": "NVDA", "cik": "0001045810", "display_name": "NVIDIA", "category": "silicon", "ai_angle": "The dominant supplier of AI training and inference GPUs.", "exchange": "NASDAQ" }, "filings": { "count": 10, "source": "data.sec.gov/submissions", "license": "Public domain (17 USC 105). SEC EDGAR." }, "news": { "count": 4, "aliases_used": [ "NVIDIA", "Nvidia" ], "sanitization": "enabled" }, "funding_as_investor": { "count": 0, "description": "Strategic and equity rounds where this company is listed as a lead or notable investor in TensorFeed funding registry." }, "attribution": { "sources": [ "SEC EDGAR (data.sec.gov/submissions). Public domain (17 USC 105).", "TensorFeed.ai news aggregator (sanitized for agents).", "TensorFeed.ai funding registry (editorial)." ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "ticker": { "type": "string", "description": "AI bellwether ticker (NVDA, AMD, AVGO, TSM, ARM, MSFT, GOOGL, AMZN, ORCL, PLTR, SMCI, AAPL, META, TSLA). Case-insensitive." } }, "required": [ "ticker" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/ai-companies/:ticker" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/x402-index/publisher/{domain}", "description": "Per-publisher receipt feed for one x402-compliant domain across an inclusive from/to date range. Returns publisher meta (domain, pay_to_wallets, first_seen), window rollup (volume_usdc, count, avg_amount, daily_series of per-day rows), attribution, and CC BY 4.0 license. Forensic and compliance lane for callers building dashboards over x402 settlement data on Base mainnet.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" } } ], "lastUpdated": "2026-05-27T00:00:00Z", "metadata": { "name": "x402 Index: per-publisher receipt feed", "description": "Per-publisher x402 USDC settlement receipt feed on Base mainnet. One paid call returns publisher meta, the windowed rollup (volume_usdc, count, avg_amount), and a per-day daily_series across the inclusive from/to range. Built for forensic and compliance dashboards over x402 settlement data.", "tier": 1, "credits": 1, "category": "ai-x402-index-publisher" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "domain": "tensorfeed.ai" }, "queryParams": { "from": "2026-05-21", "to": "2026-05-27" } }, "output": { "type": "json", "example": { "ok": true, "publisher": { "domain": "tensorfeed.ai", "pay_to_wallets": [ "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1" ], "first_seen": "2026-05-28T00:00:00Z" }, "window": { "from": "2026-05-21", "to": "2026-05-27", "days": 7 }, "rollup": { "volume_usdc": "287.420000", "count": 1342, "avg_amount": "0.214172", "daily_series": [ { "date": "2026-05-21", "volume_usdc": "32.180000", "count": 156 } ] }, "attribution": "TensorFeed x402 settlement index over public Base mainnet on-chain data", "license": "CC BY 4.0" } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "domain": { "type": "string", "description": "x402-compliant publisher domain present in the TensorFeed publisher registry. See /api/x402-index/publishers for the indexed set." } }, "required": [ "domain" ] }, "queryParams": { "type": "object", "properties": { "from": { "type": "string", "description": "Range start, YYYY-MM-DD. Required." }, "to": { "type": "string", "description": "Range end, YYYY-MM-DD inclusive. Required." } }, "required": [ "from", "to" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/x402-index/publisher/:domain" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/x402-index/series", "description": "Time series of x402 USDC settlement on Base mainnet. One paid call returns per-day settlement volume (USDC) or transaction count across a date range, ecosystem-wide or scoped to a single publisher domain. Built over public Base on-chain data; CC BY 4.0. Required params metric, granularity, from, and to; granularity day only in the MVP.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "metric": "volume", "granularity": "day", "from": "2026-05-28", "to": "2026-05-30" } }, "output": { "type": "json", "example": { "ok": true, "metric": "volume", "granularity": "day", "window": { "from": "2026-05-28", "to": "2026-05-30" }, "series": [ { "ts": "2026-05-28", "value": "1240.500000" }, { "ts": "2026-05-29", "value": "1875.250000" } ], "captured_at": "2026-05-30T11:00:00Z", "has_data": true, "attribution": "TensorFeed x402 settlement index over public Base mainnet on-chain data", "license": "CC BY 4.0", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "x402 Index: time-series", "description": "Time series of x402 USDC settlement on Base mainnet. One paid call returns per-day settlement volume (USDC) or transaction count across a date range, ecosystem-wide or scoped to a single publisher domain. Built over public Base on-chain data; CC BY 4.0. Required params metric, granularity, from, and to; granularity day only in the MVP.", "tier": 1, "credits": 1, "category": "ai-x402-index-series" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "metric": "volume", "granularity": "day", "from": "2026-05-28", "to": "2026-05-30" } }, "output": { "type": "json", "example": { "ok": true, "metric": "volume", "granularity": "day", "window": { "from": "2026-05-28", "to": "2026-05-30" }, "series": [ { "ts": "2026-05-28", "value": "1240.500000" }, { "ts": "2026-05-29", "value": "1875.250000" } ], "captured_at": "2026-05-30T11:00:00Z", "has_data": true, "attribution": "TensorFeed x402 settlement index over public Base mainnet on-chain data", "license": "CC BY 4.0", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "metric": { "type": "string", "enum": [ "volume", "count" ], "description": "volume returns per-period USDC settled; count returns per-period transaction count." }, "granularity": { "type": "string", "enum": [ "day", "hour" ], "description": "Bucket size. Only day is built in the MVP; hour returns a no-charge granularity_unavailable." }, "from": { "type": "string", "description": "Start date YYYY-MM-DD. Required. Range is capped server-side to bound per-day KV fan-out." }, "to": { "type": "string", "description": "End date YYYY-MM-DD. Required." }, "domain": { "type": "string", "description": "Optional publisher domain to scope the series to one publisher. Omit for the ecosystem-wide series." } }, "required": [ "metric", "granularity", "from", "to" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/route-verdict", "description": "Signed model routing decision. One paid call returns the best model for a task (code, reasoning, creative, general) or a named model, fusing pricing, benchmark capability discounted for contamination, real production usage, measured p95 latency from active probes, live incident-triage operational state, and deprecation flags into a single verdict with runners-up and an AFTA-signed receipt over the inputs. Optional filters: max_latency_p95_ms, require_operational, exclude_deprecated. The \"which model right now\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "task": "code" } }, "output": { "type": "json", "example": { "ok": true, "query": { "task": "code", "model": null }, "capturedAt": "2026-05-28T11:55:00Z", "verdict": { "rank": 1, "model": { "id": "claude-sonnet-4-6", "name": "Claude Sonnet 4.6", "provider": "anthropic", "openSource": false, "contextWindow": 200000 }, "pricing": { "input": 3, "output": 15, "blended": 9, "currency": "USD", "unit": "per 1M tokens" }, "quality": { "task_score": 0.87, "trust_discounted": 0.83, "contamination_note": "HumanEval (high contamination, saturated)" }, "usage": { "corroborated": true, "rank": 1, "share_pct": 18.4, "trend": "flat" }, "latency": { "measured_p95_ms": 1820, "source": "measured_probe" }, "operational": { "ok": true, "status": "operational", "source": "live_status" }, "deprecation": { "flagged": false, "status": null, "sunset_date": null }, "composite_score": 0.78, "why": "code quality 0.83 after trust discount; corroborated by real usage (rank 1, 18.4% share, flat); measured p95 1820 ms; operational; blended $9 / 1M" }, "runners_up": [], "trust": { "usage_corroborated": true, "benchmark_contamination": "mixed", "operational_layer": "partial", "latency_layer": "partial" }, "filters_applied": { "max_latency_p95_ms": null, "require_operational": true, "exclude_deprecated": true }, "candidates_considered": 8, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Route Verdict", "description": "Signed model routing decision. One paid call returns the best model for a task (code, reasoning, creative, general) or a named model, fusing pricing, benchmark capability discounted for contamination, real production usage, measured p95 latency from active probes, live incident-triage operational state, and deprecation flags into a single verdict with runners-up and an AFTA-signed receipt over the inputs. Optional filters: max_latency_p95_ms, require_operational, exclude_deprecated. The \"which model right now\" call.", "tier": 2, "credits": 1, "category": "ai-model-routing" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "task": "code" } }, "output": { "type": "json", "example": { "ok": true, "query": { "task": "code", "model": null }, "capturedAt": "2026-05-28T11:55:00Z", "verdict": { "rank": 1, "model": { "id": "claude-sonnet-4-6", "name": "Claude Sonnet 4.6", "provider": "anthropic", "openSource": false, "contextWindow": 200000 }, "pricing": { "input": 3, "output": 15, "blended": 9, "currency": "USD", "unit": "per 1M tokens" }, "quality": { "task_score": 0.87, "trust_discounted": 0.83, "contamination_note": "HumanEval (high contamination, saturated)" }, "usage": { "corroborated": true, "rank": 1, "share_pct": 18.4, "trend": "flat" }, "latency": { "measured_p95_ms": 1820, "source": "measured_probe" }, "operational": { "ok": true, "status": "operational", "source": "live_status" }, "deprecation": { "flagged": false, "status": null, "sunset_date": null }, "composite_score": 0.78, "why": "code quality 0.83 after trust discount; corroborated by real usage (rank 1, 18.4% share, flat); measured p95 1820 ms; operational; blended $9 / 1M" }, "runners_up": [], "trust": { "usage_corroborated": true, "benchmark_contamination": "mixed", "operational_layer": "partial", "latency_layer": "partial" }, "filters_applied": { "max_latency_p95_ms": null, "require_operational": true, "exclude_deprecated": true }, "candidates_considered": 8, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "task": { "type": "string", "enum": [ "code", "reasoning", "creative", "general" ], "description": "Task profile to rank models for. Provide task or model." }, "model": { "type": "string", "description": "Canonical model id or display name to narrow the verdict to one model." }, "max_latency_p95_ms": { "type": "integer", "minimum": 1, "description": "Drop candidates whose measured p95 latency exceeds this floor." }, "require_operational": { "type": "string", "enum": [ "true", "false" ], "description": "Default true. Drop candidates known to be down or in failover." }, "exclude_deprecated": { "type": "string", "enum": [ "true", "false" ], "description": "Default true. Drop models flagged deprecated or sunsetted." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/provider-reliability-verdict", "description": "Provider Reliability Verdict. One paid call ranks the frontier AI providers TensorFeed actively probes by measured operational reliability, fusing availability (ok rate) and tail consistency (p50 over p95) from its own latency probes into a single dependability ranking. Returns the most dependable and riskiest providers, the full per-provider ranking (availability, p50/p95/p99, spread ratio, score), and an AFTA-signed receipt. The thesis: an agent retry loop feels the tail, not the median. The \"which provider can I depend on right now\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET" }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-29T11:55:00Z", "window_label": "last_24h", "verdict": { "most_dependable": "anthropic", "riskiest": "deepseek" }, "ranking": [ { "rank": 1, "provider": "anthropic", "ok_pct": 0.99, "total_p50_ms": 500, "total_p95_ms": 900, "total_p99_ms": 1400, "spread_ratio": 1.8, "reliability_score": 0.7728, "measured": true, "note": "measured availability 99 percent, p50 500 ms, p95 900 ms, p95 over p50 spread 1.8x" } ], "coverage": { "providers_ranked": 3, "fully_measured": 3, "availability_only": 0 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Provider Reliability Verdict", "description": "Provider Reliability Verdict. One paid call ranks the frontier AI providers TensorFeed actively probes by measured operational reliability, fusing availability (ok rate) and tail consistency (p50 over p95) from its own latency probes into a single dependability ranking. Returns the most dependable and riskiest providers, the full per-provider ranking (availability, p50/p95/p99, spread ratio, score), and an AFTA-signed receipt. The thesis: an agent retry loop feels the tail, not the median. The \"which provider can I depend on right now\" call.", "tier": 1, "credits": 1, "category": "ai-provider-reliability" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET" }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-29T11:55:00Z", "window_label": "last_24h", "verdict": { "most_dependable": "anthropic", "riskiest": "deepseek" }, "ranking": [ { "rank": 1, "provider": "anthropic", "ok_pct": 0.99, "total_p50_ms": 500, "total_p95_ms": 900, "total_p99_ms": 1400, "spread_ratio": 1.8, "reliability_score": 0.7728, "measured": true, "note": "measured availability 99 percent, p50 500 ms, p95 900 ms, p95 over p50 spread 1.8x" } ], "coverage": { "providers_ranked": 3, "fully_measured": 3, "availability_only": 0 }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object" } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/x402-settlement-verdict", "description": "x402 Settlement Verdict. One paid call rules on the state of the x402 USDC settlement market on Base, computed over TensorFeed's own on-chain settlement index. Returns the market momentum (expanding, steady, contracting, or nascent versus the prior window of equal length), the concentration by Herfindahl index (concentrated, moderate, or diversified), the leading publisher, the full per-publisher volume ranking, ecosystem totals with the window-over-window change, and an AFTA-signed receipt. Optional window (24h, 7d, 30d). The \"is x402 settlement growing and who leads\" call, over the Base settlements TensorFeed measures, not a market-wide claim.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET" }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-29T17:54:00Z", "window_label": "7d", "verdict": { "momentum": "expanding", "concentration": "concentrated", "leading_publisher": "pay.example.com" }, "ecosystem": { "volume_usdc": "1234.500000", "count": 42, "unique_publishers": 3, "volume_change_pct": 30, "count_change_pct": 25, "prior_window_empty": false, "top_publisher_share_pct": 64.8, "hhi": 4908 }, "ranking": [ { "rank": 1, "domain": "pay.example.com", "volume_usdc": "800.000000", "count": 25, "share_pct": 64.8 } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "x402 Settlement Verdict", "description": "x402 Settlement Verdict. One paid call rules on the state of the x402 USDC settlement market on Base, computed over TensorFeed's own on-chain settlement index. Returns the market momentum (expanding, steady, contracting, or nascent versus the prior window of equal length), the concentration by Herfindahl index (concentrated, moderate, or diversified), the leading publisher, the full per-publisher volume ranking, ecosystem totals with the window-over-window change, and an AFTA-signed receipt. Optional window (24h, 7d, 30d). The \"is x402 settlement growing and who leads\" call, over the Base settlements TensorFeed measures, not a market-wide claim.", "tier": 1, "credits": 1, "category": "ai-x402-settlement" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET" }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-29T17:54:00Z", "window_label": "7d", "verdict": { "momentum": "expanding", "concentration": "concentrated", "leading_publisher": "pay.example.com" }, "ecosystem": { "volume_usdc": "1234.500000", "count": 42, "unique_publishers": 3, "volume_change_pct": 30, "count_change_pct": 25, "prior_window_empty": false, "top_publisher_share_pct": 64.8, "hhi": 4908 }, "ranking": [ { "rank": 1, "domain": "pay.example.com", "volume_usdc": "800.000000", "count": 25, "share_pct": 64.8 } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object" } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/stack-safety-verdict", "description": "Stack Safety Verdict. A GET deploy gate: pass packages=name@version,name@version (up to 10) from your AI stack and get GO / HOLD / BLOCK per package plus an overall gate, fusing TensorFeed's ingested AI-CVE batch (GHSA plus vendor advisories) with the CISA KEV catalog for exploitation status. Each verdict carries the matched CVE ids, affected ranges, fixed versions, and KEV status, plus an AFTA-signed receipt. Never-false-confirm: BLOCK only on exploited with no fix, HOLD when the version must be verified, PASS on no AI-stack match, UNKNOWN outside the cohort. The \"is my AI stack safe to ship\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "packages": "langchain@0.3.27,vllm@0.6.0" } }, "output": { "type": "json", "example": { "ok": true, "gate": "HOLD", "extracted_at": "2026-05-27T09:00:00Z", "counts": { "block": 0, "hold": 1, "pass": 1, "unknown": 0 }, "packages": [ { "package": "vllm", "version": "0.6.0", "verdict": "HOLD", "in_cohort": true, "exploited": false, "fix_available": true, "category": "inference-stack", "matched_cves": [ { "cve_id": "CVE-2026-1234", "on_kev": false, "exploited_in_wild": "stated_no", "severity_label": "high", "affected_version_ranges": [ "< 0.6.1" ], "fixed_versions": [ "0.6.1" ], "source_url": "https://github.com/advisories/GHSA-xxxx" } ], "reason": "A known CVE applies to this package (not confirmed exploited). Verify your pinned version against the surfaced ranges and fixes." }, { "package": "langchain", "version": "0.3.27", "verdict": "PASS", "in_cohort": true, "exploited": false, "fix_available": false, "category": "agent-framework", "matched_cves": [], "reason": "No AI-stack CVE matched this package name. Not a full vulnerability scan." } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Stack Safety Verdict", "description": "Stack Safety Verdict. A GET deploy gate: pass packages=name@version,name@version (up to 10) from your AI stack and get GO / HOLD / BLOCK per package plus an overall gate, fusing TensorFeed's ingested AI-CVE batch (GHSA plus vendor advisories) with the CISA KEV catalog for exploitation status. Each verdict carries the matched CVE ids, affected ranges, fixed versions, and KEV status, plus an AFTA-signed receipt. Never-false-confirm: BLOCK only on exploited with no fix, HOLD when the version must be verified, PASS on no AI-stack match, UNKNOWN outside the cohort. The \"is my AI stack safe to ship\" call.", "tier": 1, "credits": 1, "category": "ai-stack-security" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "packages": "langchain@0.3.27,vllm@0.6.0" } }, "output": { "type": "json", "example": { "ok": true, "gate": "HOLD", "extracted_at": "2026-05-27T09:00:00Z", "counts": { "block": 0, "hold": 1, "pass": 1, "unknown": 0 }, "packages": [ { "package": "vllm", "version": "0.6.0", "verdict": "HOLD", "in_cohort": true, "exploited": false, "fix_available": true, "category": "inference-stack", "matched_cves": [ { "cve_id": "CVE-2026-1234", "on_kev": false, "exploited_in_wild": "stated_no", "severity_label": "high", "affected_version_ranges": [ "< 0.6.1" ], "fixed_versions": [ "0.6.1" ], "source_url": "https://github.com/advisories/GHSA-xxxx" } ], "reason": "A known CVE applies to this package (not confirmed exploited). Verify your pinned version against the surfaced ranges and fixes." }, { "package": "langchain", "version": "0.3.27", "verdict": "PASS", "in_cohort": true, "exploited": false, "fix_available": false, "category": "agent-framework", "matched_cves": [], "reason": "No AI-stack CVE matched this package name. Not a full vulnerability scan." } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "packages": { "type": "string", "description": "Comma-separated name@version list (version optional), up to 10. Example: langchain@0.3.27,vllm@0.6.0" } }, "required": [ "packages" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/benchmark-trust-verdict", "description": "Benchmark Trust Verdict. Is an AI benchmark a trustworthy capability signal right now, or is it saturated, contaminated, or near its ceiling so a high score is a floor and not a differentiator? Returns a trust band and a 0-100 trust score per benchmark, fusing the registry contamination and saturation flags with the live spread of the top model scores (frontier compression), plus a down-weight recommendation and an alternative benchmark to use instead. Optional ?benchmark= or ?category= filter. AFTA-signed. The \"should I trust this SOTA claim\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "category": "code" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-28T08:00:00Z", "filter": { "benchmark": null, "category": "code" }, "count": 1, "verdicts": [ { "id": "humaneval", "name": "HumanEval", "category": "code", "status": "saturated", "contamination_risk": "high", "frontier_score": "~97%", "score_range": "0-100% pass@1", "trust_band": "contaminated", "trust_score": 12, "signals": { "ceiling_proximity": "at_ceiling", "frontier_compression": "unknown", "top_score_spread": null, "models_scored": 0 }, "recommendation": "Down-weight scores on this benchmark (high training-contamination risk, marked saturated, frontier score is near the ceiling). A high score is closer to a capability floor than a differentiator. Prefer LiveCodeBench for current code signal.", "leaderboard_url": "https://paperswithcode.com/sota/code-generation-on-humaneval" } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Benchmark Trust Verdict", "description": "Benchmark Trust Verdict. Is an AI benchmark a trustworthy capability signal right now, or is it saturated, contaminated, or near its ceiling so a high score is a floor and not a differentiator? Returns a trust band and a 0-100 trust score per benchmark, fusing the registry contamination and saturation flags with the live spread of the top model scores (frontier compression), plus a down-weight recommendation and an alternative benchmark to use instead. Optional ?benchmark= or ?category= filter. AFTA-signed. The \"should I trust this SOTA claim\" call.", "tier": 1, "credits": 1, "category": "ai-benchmark-trust" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "category": "code" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-28T08:00:00Z", "filter": { "benchmark": null, "category": "code" }, "count": 1, "verdicts": [ { "id": "humaneval", "name": "HumanEval", "category": "code", "status": "saturated", "contamination_risk": "high", "frontier_score": "~97%", "score_range": "0-100% pass@1", "trust_band": "contaminated", "trust_score": 12, "signals": { "ceiling_proximity": "at_ceiling", "frontier_compression": "unknown", "top_score_spread": null, "models_scored": 0 }, "recommendation": "Down-weight scores on this benchmark (high training-contamination risk, marked saturated, frontier score is near the ceiling). A high score is closer to a capability floor than a differentiator. Prefer LiveCodeBench for current code signal.", "leaderboard_url": "https://paperswithcode.com/sota/code-generation-on-humaneval" } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "benchmark": { "type": "string", "description": "Optional registry id or name to narrow to one benchmark (e.g. swe-bench-verified)." }, "category": { "type": "string", "description": "Optional category filter: knowledge, math, code, multimodal, agents, long-context, safety." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/failover-verdict", "description": "Failover Verdict. Provider A is degraded, which operational provider do I fail over to for this task right now? Confirms A against the live incident-triage feed, then runs the capability-first route verdict with A and any provider flagged failover_now excluded, returning the recommended destination model plus the incident reason plus ranked alternatives plus an AFTA-signed receipt. Pass ?from= and optional ?task= or ?model=. The \"A just broke, where do I send it\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "anthropic", "task": "code" } }, "output": { "type": "json", "example": { "ok": true, "from": { "provider": "anthropic", "in_incident": true, "incident": { "title": "Anthropic API elevated errors", "service": "Anthropic API", "impact_classification": "critical", "recommended_action": "failover_now", "started_at": "2026-05-28T11:00:00Z", "triage_summary": "Anthropic API returning elevated 5xx for Messages." } }, "query": { "task": "code", "model": null }, "capturedAt": "2026-05-28T11:55:00Z", "excluded_providers": [ "anthropic" ], "failover_to": { "rank": 1, "model": { "id": "gpt-5-5", "name": "GPT-5.5", "provider": "openai", "openSource": false, "contextWindow": 400000 }, "pricing": { "input": 5, "output": 15, "blended": 10, "currency": "USD", "unit": "per 1M tokens" }, "quality": { "task_score": 0.86, "trust_discounted": 0.83, "contamination_note": null }, "usage": { "corroborated": true, "rank": 2, "share_pct": 14.6, "trend": "up" }, "latency": { "measured_p95_ms": 1200, "source": "measured_probe" }, "operational": { "ok": true, "status": "operational", "source": "live_status" }, "deprecation": { "flagged": false, "status": null, "sunset_date": null }, "composite_score": 0.79, "why": "code quality 0.83 after trust discount; corroborated by real usage (rank 2, 14.6% share, up); measured p95 1200 ms; operational; blended $10 / 1M" }, "alternatives": [], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Failover Verdict", "description": "Failover Verdict. Provider A is degraded, which operational provider do I fail over to for this task right now? Confirms A against the live incident-triage feed, then runs the capability-first route verdict with A and any provider flagged failover_now excluded, returning the recommended destination model plus the incident reason plus ranked alternatives plus an AFTA-signed receipt. Pass ?from= and optional ?task= or ?model=. The \"A just broke, where do I send it\" call.", "tier": 1, "credits": 1, "category": "ai-failover-routing" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "anthropic", "task": "code" } }, "output": { "type": "json", "example": { "ok": true, "from": { "provider": "anthropic", "in_incident": true, "incident": { "title": "Anthropic API elevated errors", "service": "Anthropic API", "impact_classification": "critical", "recommended_action": "failover_now", "started_at": "2026-05-28T11:00:00Z", "triage_summary": "Anthropic API returning elevated 5xx for Messages." } }, "query": { "task": "code", "model": null }, "capturedAt": "2026-05-28T11:55:00Z", "excluded_providers": [ "anthropic" ], "failover_to": { "rank": 1, "model": { "id": "gpt-5-5", "name": "GPT-5.5", "provider": "openai", "openSource": false, "contextWindow": 400000 }, "pricing": { "input": 5, "output": 15, "blended": 10, "currency": "USD", "unit": "per 1M tokens" }, "quality": { "task_score": 0.86, "trust_discounted": 0.83, "contamination_note": null }, "usage": { "corroborated": true, "rank": 2, "share_pct": 14.6, "trend": "up" }, "latency": { "measured_p95_ms": 1200, "source": "measured_probe" }, "operational": { "ok": true, "status": "operational", "source": "live_status" }, "deprecation": { "flagged": false, "status": null, "sunset_date": null }, "composite_score": 0.79, "why": "code quality 0.83 after trust discount; corroborated by real usage (rank 2, 14.6% share, up); measured p95 1200 ms; operational; blended $10 / 1M" }, "alternatives": [], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "from": { "type": "string", "description": "The degraded provider to fail over from (e.g. anthropic, openai, google)." }, "task": { "type": "string", "enum": [ "code", "reasoning", "creative", "general" ], "description": "Optional task profile." }, "model": { "type": "string", "description": "Optional model to narrow the failover target." } }, "required": [ "from" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/sec/filings/guidance-delta", "description": "Guidance Delta. Did this periodic SEC filing (10-K or 10-Q) materially change guidance, segment outlook, or risk language versus the prior same-form filing, with the exact changed sentences quoted? Pass ?ticker=NVDA&form=10-Q for the latest, or ?accession= for one filing. Returns a deterministic materiality_summary, the full verbatim changes (prior and current quotes, values, section), and an AFTA-signed receipt. The signed verified-decision a finance agent reads before acting on an earnings filing.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ticker": "NVDA", "form": "10-Q" } }, "output": { "type": "json", "example": { "ok": true, "ticker": "NVDA", "company_name": "NVIDIA CORP", "cik": "0001045810", "form": "10-Q", "accession_number": "0001045810-26-000052", "prior_accession_number": "0001045810-25-000230", "filing_date": "2026-05-20", "prior_filing_date": "2025-11-19", "materiality_summary": { "total_changes": 10, "by_materiality": { "material": 3, "minor": 6, "boilerplate": 1 }, "by_category": { "revenue_guidance": 1, "segment_outlook": 2, "risk_factor": 4, "other": 3 }, "by_change_type": { "reworded": 8, "initiated": 1, "raised": 1 }, "by_direction": { "neutral": 8, "unclear": 1, "up": 1 }, "headline": "FY26 revenue guidance raised; Investments in Fiscal Year 2027 initiated; 4 risk factor wordings revised" }, "changes": [ { "topic": "Investments in Fiscal Year 2027", "prior_text": "", "current_text": "In the first quarter of fiscal year 2027, we made the following investments: 18.6 billion dollars in private companies and infrastructure funds.", "prior_value": null, "current_value": "18.6 billion", "section": "Management's Discussion and Analysis", "category": "other", "change_type": "initiated", "direction": "unclear", "materiality": "material" } ], "freshness": { "model": "input_keyed", "superseded": false, "superseded_note": "This delta reflects the latest same-form filing TensorFeed has processed.", "latest_same_form_accession": "0001045810-26-000052", "latest_same_form_filing_date": "2026-05-20" }, "capturedAt": "2026-05-28T00:00:00Z", "extracted_by": "phi-4-Q6_K.gguf@dp-cc", "source_license": "US Government public domain (17 USC 105)", "source_attribution": "SEC EDGAR (data.sec.gov) + Phi-4 verbatim extraction + deterministic normalize", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Guidance Delta", "description": "Guidance Delta. Did this periodic SEC filing (10-K or 10-Q) materially change guidance, segment outlook, or risk language versus the prior same-form filing, with the exact changed sentences quoted? Pass ?ticker=NVDA&form=10-Q for the latest, or ?accession= for one filing. Returns a deterministic materiality_summary, the full verbatim changes (prior and current quotes, values, section), and an AFTA-signed receipt. The signed verified-decision a finance agent reads before acting on an earnings filing.", "tier": 1, "credits": 1, "category": "sec-filings-intelligence" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ticker": "NVDA", "form": "10-Q" } }, "output": { "type": "json", "example": { "ok": true, "ticker": "NVDA", "company_name": "NVIDIA CORP", "cik": "0001045810", "form": "10-Q", "accession_number": "0001045810-26-000052", "prior_accession_number": "0001045810-25-000230", "filing_date": "2026-05-20", "prior_filing_date": "2025-11-19", "materiality_summary": { "total_changes": 10, "by_materiality": { "material": 3, "minor": 6, "boilerplate": 1 }, "by_category": { "revenue_guidance": 1, "segment_outlook": 2, "risk_factor": 4, "other": 3 }, "by_change_type": { "reworded": 8, "initiated": 1, "raised": 1 }, "by_direction": { "neutral": 8, "unclear": 1, "up": 1 }, "headline": "FY26 revenue guidance raised; Investments in Fiscal Year 2027 initiated; 4 risk factor wordings revised" }, "changes": [ { "topic": "Investments in Fiscal Year 2027", "prior_text": "", "current_text": "In the first quarter of fiscal year 2027, we made the following investments: 18.6 billion dollars in private companies and infrastructure funds.", "prior_value": null, "current_value": "18.6 billion", "section": "Management's Discussion and Analysis", "category": "other", "change_type": "initiated", "direction": "unclear", "materiality": "material" } ], "freshness": { "model": "input_keyed", "superseded": false, "superseded_note": "This delta reflects the latest same-form filing TensorFeed has processed.", "latest_same_form_accession": "0001045810-26-000052", "latest_same_form_filing_date": "2026-05-20" }, "capturedAt": "2026-05-28T00:00:00Z", "extracted_by": "phi-4-Q6_K.gguf@dp-cc", "source_license": "US Government public domain (17 USC 105)", "source_attribution": "SEC EDGAR (data.sec.gov) + Phi-4 verbatim extraction + deterministic normalize", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "accession": { "type": "string", "description": "A specific current filing accession (NNNNNNNNNN-NN-NNNNNN). Use this OR ticker plus form." }, "ticker": { "type": "string", "description": "AI bellwether ticker (NVDA, AMD, AVGO, and the rest of the 14). With form, resolves the latest same-form delta." }, "form": { "type": "string", "description": "Periodic form type: 10-K or 10-Q. Required when ticker is used." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-crawler-access/full", "description": "AI Crawler Access Map, full dataset. One paid call returns every tracked domain with its per-bot robots.txt verdict (allowed, blocked, partial, or unknown) across the tracked AI bots (GPTBot, ClaudeBot, PerplexityBot, CCBot, Google-Extended, and more), plus llms.txt and ai.txt presence flags, sector rollups, and aggregate blocked/allowed percentages. Built by parsing each domain public robots.txt, llms.txt, and ai.txt on a daily rolling crawl. We report stated policy, not enforcement.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": {} }, "output": { "type": "json", "example": { "ok": true, "captured_at": "2026-06-01T09:53:00Z", "domains": [ { "domain": "nytimes.com", "sector": "publishing", "checkedAt": "2026-06-01T09:53:00Z", "robotsStatus": 200, "bots": { "GPTBot": "blocked", "ClaudeBot": "blocked", "CCBot": "blocked", "PerplexityBot": "partial" }, "hasLlmsTxt": false, "hasAiTxt": false, "llmsTxtBytes": null } ], "stats": { "domainsWithData": 300, "botBlockedPct": { "ClaudeBot": 69, "GPTBot": 62 }, "botAllowedPct": { "ClaudeBot": 28, "GPTBot": 35 }, "llmsTxtAdoptionPct": 11, "aiTxtAdoptionPct": 3, "bySector": { "publishing": { "domains": 35, "llmsTxt": 2 } } }, "source_attribution": "TensorFeed AI Crawler Access Map. Daily rolling crawl of curated domains, parsing public robots.txt, llms.txt, and ai.txt. We report stated policy, not enforcement." } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "AI Crawler Access Map, Full Dataset", "description": "AI Crawler Access Map, full dataset. One paid call returns every tracked domain with its per-bot robots.txt verdict (allowed, blocked, partial, or unknown) across the tracked AI bots (GPTBot, ClaudeBot, PerplexityBot, CCBot, Google-Extended, and more), plus llms.txt and ai.txt presence flags, sector rollups, and aggregate blocked/allowed percentages. Built by parsing each domain public robots.txt, llms.txt, and ai.txt on a daily rolling crawl. We report stated policy, not enforcement.", "tier": 1, "credits": 1, "category": "ai-crawler-access" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": {} }, "output": { "type": "json", "example": { "ok": true, "captured_at": "2026-06-01T09:53:00Z", "domains": [ { "domain": "nytimes.com", "sector": "publishing", "checkedAt": "2026-06-01T09:53:00Z", "robotsStatus": 200, "bots": { "GPTBot": "blocked", "ClaudeBot": "blocked", "CCBot": "blocked", "PerplexityBot": "partial" }, "hasLlmsTxt": false, "hasAiTxt": false, "llmsTxtBytes": null } ], "stats": { "domainsWithData": 300, "botBlockedPct": { "ClaudeBot": 69, "GPTBot": 62 }, "botAllowedPct": { "ClaudeBot": 28, "GPTBot": 35 }, "llmsTxtAdoptionPct": 11, "aiTxtAdoptionPct": 3, "bySector": { "publishing": { "domains": 35, "llmsTxt": 2 } } }, "source_attribution": "TensorFeed AI Crawler Access Map. Daily rolling crawl of curated domains, parsing public robots.txt, llms.txt, and ai.txt. We report stated policy, not enforcement." } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "additionalProperties": false } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-crawler-access/changes", "description": "AI Crawler Access Map, change history. One paid call returns the flip log over a date range: when a tracked domain changed a bot from allowed to blocked (or back), or first published or removed llms.txt or ai.txt. Each entry is domain, field (a bot name or llms.txt or ai.txt), from, to, and at. Required params from and to (YYYY-MM-DD); optional domain to scope to one site. We report stated policy, not enforcement.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "2026-05-01", "to": "2026-06-01", "domain": "nytimes.com" } }, "output": { "type": "json", "example": { "ok": true, "captured_at": "2026-06-01T09:53:00Z", "domain": "nytimes.com", "from": "2026-05-01", "to": "2026-06-01", "changes": [ { "domain": "nytimes.com", "field": "PerplexityBot", "from": "allowed", "to": "blocked", "at": "2026-05-18T09:53:00Z" }, { "domain": "nytimes.com", "field": "llms.txt", "from": "absent", "to": "present", "at": "2026-05-24T09:53:00Z" } ], "has_data": true, "source_attribution": "TensorFeed AI Crawler Access Map. Daily rolling crawl of curated domains, parsing public robots.txt, llms.txt, and ai.txt. We report stated policy, not enforcement." } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "AI Crawler Access Map, Changes", "description": "AI Crawler Access Map, change history. One paid call returns the flip log over a date range: when a tracked domain changed a bot from allowed to blocked (or back), or first published or removed llms.txt or ai.txt. Each entry is domain, field (a bot name or llms.txt or ai.txt), from, to, and at. Required params from and to (YYYY-MM-DD); optional domain to scope to one site. We report stated policy, not enforcement.", "tier": 1, "credits": 1, "category": "ai-crawler-access" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "2026-05-01", "to": "2026-06-01", "domain": "nytimes.com" } }, "output": { "type": "json", "example": { "ok": true, "captured_at": "2026-06-01T09:53:00Z", "domain": "nytimes.com", "from": "2026-05-01", "to": "2026-06-01", "changes": [ { "domain": "nytimes.com", "field": "PerplexityBot", "from": "allowed", "to": "blocked", "at": "2026-05-18T09:53:00Z" }, { "domain": "nytimes.com", "field": "llms.txt", "from": "absent", "to": "present", "at": "2026-05-24T09:53:00Z" } ], "has_data": true, "source_attribution": "TensorFeed AI Crawler Access Map. Daily rolling crawl of curated domains, parsing public robots.txt, llms.txt, and ai.txt. We report stated policy, not enforcement." } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "from": { "type": "string", "description": "Start date YYYY-MM-DD. Required. Inclusive lower bound of the change window." }, "to": { "type": "string", "description": "End date YYYY-MM-DD. Required. Inclusive upper bound of the change window." }, "domain": { "type": "string", "description": "Optional domain to scope the flip log to one site. Omit to scan all tracked domains." } }, "required": [ "from", "to" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/agent-ready/full", "description": "Agent-Ready Web Map, full dataset. One paid call returns every profiled domain with a transparent 0 to 100 agent-readiness score, a tier (closed, emerging, ready, or advanced), and which agent surfaces the site exposes: x402 manifest, agent.json, openapi, llms.txt, AI-bot-crawlable robots policy, and ai.txt. Score weights are published: x402 +25, agent.json +20, openapi +20, llms.txt +15, crawlable +15, ai.txt +5. Derived from the daily crawler-access crawl. We report stated, published surfaces, not enforcement.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": {} }, "output": { "type": "json", "example": { "ok": true, "captured_at": "2026-06-01T09:53:00Z", "domains": [ { "domain": "stripe.com", "sector": "payments", "readiness": { "score": 95, "tier": "advanced", "surfaces": { "x402": true, "agentJson": true, "openapi": true, "llmsTxt": true, "crawlable": true, "aiTxt": false } } } ], "source_attribution": "TensorFeed Agent-Ready Web Map. Derived from the daily crawler-access crawl of curated domains. Scores agent readiness from public surfaces (x402, agent.json, openapi, llms.txt, robots policy, ai.txt). We report stated, published surfaces, not enforcement." } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "Agent-Ready Web Map, Full Dataset", "description": "Agent-Ready Web Map, full dataset. One paid call returns every profiled domain with a transparent 0 to 100 agent-readiness score, a tier (closed, emerging, ready, or advanced), and which agent surfaces the site exposes: x402 manifest, agent.json, openapi, llms.txt, AI-bot-crawlable robots policy, and ai.txt. Score weights are published: x402 +25, agent.json +20, openapi +20, llms.txt +15, crawlable +15, ai.txt +5. Derived from the daily crawler-access crawl. We report stated, published surfaces, not enforcement.", "tier": 1, "credits": 1, "category": "agent-ready" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": {} }, "output": { "type": "json", "example": { "ok": true, "captured_at": "2026-06-01T09:53:00Z", "domains": [ { "domain": "stripe.com", "sector": "payments", "readiness": { "score": 95, "tier": "advanced", "surfaces": { "x402": true, "agentJson": true, "openapi": true, "llmsTxt": true, "crawlable": true, "aiTxt": false } } } ], "source_attribution": "TensorFeed Agent-Ready Web Map. Derived from the daily crawler-access crawl of curated domains. Scores agent readiness from public surfaces (x402, agent.json, openapi, llms.txt, robots policy, ai.txt). We report stated, published surfaces, not enforcement." } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "additionalProperties": false } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/hf-leaderboard/movers", "description": "Hugging Face Open LLM Leaderboard v2 movers. One paid call diffs the latest captured snapshot against one window days earlier (default 7) and returns what moved: rank climbers and fallers, average and per-benchmark score deltas, models entered and exited, new per-benchmark leaders, and license changes. 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Optional filters: impact, recommended_action, capability, ongoing_only.", "tier": 1, "credits": 1, "category": "status-incident-triage" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "openai", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "openai", "service": "API", "title": "Elevated latency on OpenAI inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "OpenAI inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "openai": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "impact": { "type": "string", "enum": [ "informational", "minor", "major", "critical" ] }, "recommended_action": { "type": "string", "enum": [ "no_action", "monitor", "retry_later", "failover_now", "escalate" ] }, "capability": { "type": "string", "enum": [ "inference", "training", "embeddings", "console", "billing", "fine-tuning", "api-keys", "tooling" ] }, "ongoing_only": { "type": "boolean", "description": "When true, exclude resolved incidents. Default false." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/status/anthropic/incidents/triage", "description": "Per-provider incident triage scoped to Anthropic. Same Haiku 4.5 cohort + filters + rollups as /api/premium/status/incidents/triage, pre-scoped to Anthropic. The single-call lookup an agent makes when it needs to know whether Anthropic is currently affecting its workload and what to do about it. Optional filters: impact, recommended_action, capability, ongoing_only.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "anthropic", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "anthropic", "service": "API", "title": "Elevated latency on Anthropic inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "Anthropic inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "anthropic": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Anthropic incident triage", "description": "Per-provider incident triage scoped to Anthropic. Same Haiku 4.5 cohort + filters + rollups as /api/premium/status/incidents/triage, pre-scoped to Anthropic. The single-call lookup an agent makes when it needs to know whether Anthropic is currently affecting its workload and what to do about it. Optional filters: impact, recommended_action, capability, ongoing_only.", "tier": 1, "credits": 1, "category": "status-incident-triage" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "anthropic", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "anthropic", "service": "API", "title": "Elevated latency on Anthropic inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "Anthropic inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "anthropic": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "impact": { "type": "string", "enum": [ "informational", "minor", "major", "critical" ] }, "recommended_action": { "type": "string", "enum": [ "no_action", "monitor", "retry_later", "failover_now", "escalate" ] }, "capability": { "type": "string", "enum": [ "inference", "training", "embeddings", "console", "billing", "fine-tuning", "api-keys", "tooling" ] }, "ongoing_only": { "type": "boolean", "description": "When true, exclude resolved incidents. Default false." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/status/google/incidents/triage", "description": "Per-provider incident triage scoped to Google. Same Haiku 4.5 cohort + filters + rollups as /api/premium/status/incidents/triage, pre-scoped to Google. The single-call lookup an agent makes when it needs to know whether Google is currently affecting its workload and what to do about it. Optional filters: impact, recommended_action, capability, ongoing_only.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "google", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "google", "service": "API", "title": "Elevated latency on Google inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "Google inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "google": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Google incident triage", "description": "Per-provider incident triage scoped to Google. Same Haiku 4.5 cohort + filters + rollups as /api/premium/status/incidents/triage, pre-scoped to Google. The single-call lookup an agent makes when it needs to know whether Google is currently affecting its workload and what to do about it. Optional filters: impact, recommended_action, capability, ongoing_only.", "tier": 1, "credits": 1, "category": "status-incident-triage" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "google", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "google", "service": "API", "title": "Elevated latency on Google inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "Google inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "google": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "impact": { "type": "string", "enum": [ "informational", "minor", "major", "critical" ] }, "recommended_action": { "type": "string", "enum": [ "no_action", "monitor", "retry_later", "failover_now", "escalate" ] }, "capability": { "type": "string", "enum": [ "inference", "training", "embeddings", "console", "billing", "fine-tuning", "api-keys", "tooling" ] }, "ongoing_only": { "type": "boolean", "description": "When true, exclude resolved incidents. Default false." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/status/aws/incidents/triage", "description": "Per-provider incident triage scoped to AWS. Same Haiku 4.5 cohort + filters + rollups as /api/premium/status/incidents/triage, pre-scoped to AWS. The single-call lookup an agent makes when it needs to know whether AWS is currently affecting its workload and what to do about it. Optional filters: impact, recommended_action, capability, ongoing_only.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "aws", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "aws", "service": "API", "title": "Elevated latency on AWS inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "AWS inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "aws": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "AWS incident triage", "description": "Per-provider incident triage scoped to AWS. Same Haiku 4.5 cohort + filters + rollups as /api/premium/status/incidents/triage, pre-scoped to AWS. The single-call lookup an agent makes when it needs to know whether AWS is currently affecting its workload and what to do about it. Optional filters: impact, recommended_action, capability, ongoing_only.", "tier": 1, "credits": 1, "category": "status-incident-triage" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "aws", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "aws", "service": "API", "title": "Elevated latency on AWS inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "AWS inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "aws": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "impact": { "type": "string", "enum": [ "informational", "minor", "major", "critical" ] }, "recommended_action": { "type": "string", "enum": [ "no_action", "monitor", "retry_later", "failover_now", "escalate" ] }, "capability": { "type": "string", "enum": [ "inference", "training", "embeddings", "console", "billing", "fine-tuning", "api-keys", "tooling" ] }, "ongoing_only": { "type": "boolean", "description": "When true, exclude resolved incidents. Default false." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/status/azure/incidents/triage", "description": "Per-provider incident triage scoped to Azure. Same Haiku 4.5 cohort + filters + rollups as /api/premium/status/incidents/triage, pre-scoped to Azure. The single-call lookup an agent makes when it needs to know whether Azure is currently affecting its workload and what to do about it. Optional filters: impact, recommended_action, capability, ongoing_only.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "azure", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "azure", "service": "API", "title": "Elevated latency on Azure inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "Azure inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "azure": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Azure incident triage", "description": "Per-provider incident triage scoped to Azure. Same Haiku 4.5 cohort + filters + rollups as /api/premium/status/incidents/triage, pre-scoped to Azure. The single-call lookup an agent makes when it needs to know whether Azure is currently affecting its workload and what to do about it. Optional filters: impact, recommended_action, capability, ongoing_only.", "tier": 1, "credits": 1, "category": "status-incident-triage" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "ongoing_only": true, "impact": "major" } }, "output": { "type": "json", "example": { "ok": true, "snapshot_captured_at": "2026-05-26T08:15:00Z", "filter": { "provider": "azure", "impact": "major", "recommended_action": null, "capability": null, "ongoing_only": true }, "cohort": { "incidents_considered": 14, "cards_in_snapshot": 12, "cards_filtered": 1, "ongoing_in_filtered": 1 }, "cards": [ { "provider": "azure", "service": "API", "title": "Elevated latency on Azure inference endpoints", "severity": "major", "started_at": "2026-05-26T07:42:00Z", "ongoing": true, "triage_summary": "Azure inference layer showing 5% elevated latency on completion endpoints; other capabilities unaffected.", "impact_classification": "major", "affected_capabilities": [ "inference" ], "recommended_action": "retry_later" } ], "summary": { "by_provider": { "azure": 1 }, "by_impact": { "informational": 0, "minor": 0, "major": 1, "critical": 0 }, "by_recommended_action": { "no_action": 0, "monitor": 0, "retry_later": 1, "failover_now": 0, "escalate": 0 }, "cards_with_failover_action": 0 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "impact": { "type": "string", "enum": [ "informational", "minor", "major", "critical" ] }, "recommended_action": { "type": "string", "enum": [ "no_action", "monitor", "retry_later", "failover_now", "escalate" ] }, "capability": { "type": "string", "enum": [ "inference", "training", "embeddings", "console", "billing", "fine-tuning", "api-keys", "tooling" ] }, "ongoing_only": { "type": "boolean", "description": "When true, exclude resolved incidents. Default false." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/sec/filings/ai-flagged", "description": "AI-flagged SEC filings cohort. The Qwen-extracted AI mentions (capex, revenue, partnerships, chip vendors, new products, workforce changes, key quotes) from every recent SEC filing across the 14 AI bellwether companies (NVDA, AMD, AVGO, TSM, ARM, MSFT, GOOGL, AMZN, ORCL, PLTR, SMCI, AAPL, META, TSLA). Optional filters: ticker, form (10-K, 10-Q, 8-K), since (YYYY-MM-DD), min_score (0-100). The single-call lookup an agent makes to track AI capex, partnership flow, and chip dependencies across the public-market AI ecosystem.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "ticker": "NVDA", "form": "10-K", "min_score": 70 } }, "output": { "type": "json", "example": { "batch_id": "20260526-0000Z", "extracted_at": "2026-05-26T00:00:00Z", "filter": { "ticker": "NVDA", "form": "10-K", "since": null, "min_score": 70 }, "cohort": { "total_in_snapshot": 142, "total_after_filter": 3 }, "filings": [ { "accession_number": "0001045810-25-000123", "cik": "0001045810", "ticker": "NVDA", "company_name": "NVIDIA", "form": "10-K", "filing_date": "2025-12-12", "ai_relevant": true, "ai_relevance_score": 95, "ai_keyword_hits": [ "artificial intelligence", "AI factory", "H100", "GPU" ], "ai_capex_mentions": [], "ai_revenue_mentions": [], "ai_partnership_mentions": [ { "partner_name": "Foxconn", "relationship_type": "joint_venture", "context": "multi-year strategic collaboration to build AI factories powered by NVIDIA H100 and H200 GPUs" } ], "ai_chip_mentions": [ { "vendor": "nvidia", "chip_or_product": "H100", "context": "powered by NVIDIA H100 and H200 GPUs" } ], "new_ai_products_announced": [], "ai_workforce_changes": [], "key_quotes": [ { "quote": "AI factories are the foundation of every nation intelligence infrastructure", "section": "Item 7.01" } ], "extracted_by": "qwen-3.6-27b", "extracted_at": "2026-05-26T00:00:00Z" } ], "source_license": "US Government public domain (17 USC 105)", "source_attribution": "SEC EDGAR (data.sec.gov) + Qwen 3.6 27B verbatim extraction + deterministic normalize" } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "AI-flagged SEC filings", "description": "AI-flagged SEC filings cohort. The Qwen-extracted AI mentions (capex, revenue, partnerships, chip vendors, new products, workforce changes, key quotes) from every recent SEC filing across the 14 AI bellwether companies (NVDA, AMD, AVGO, TSM, ARM, MSFT, GOOGL, AMZN, ORCL, PLTR, SMCI, AAPL, META, TSLA). Optional filters: ticker, form (10-K, 10-Q, 8-K), since (YYYY-MM-DD), min_score (0-100). 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Pass the provider slug (anthropic, openai, google, etc.) as the URL path segment. Returns the model catalog scoped to that provider plus current pricing matrix, status incidents, and reliability summary. The single-call lookup an agent makes when it needs everything about a specific provider.", "tier": 1, "credits": 5, "category": "ai-provider-digest" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "name": "anthropic" } }, "output": { "type": "json", "example": { "ok": true, "provider": "anthropic", "models": [ { "id": "claude-opus-4-7", "input_price": 14, "output_price": 70 } ], "status": { "operational": true, "incidents_24h": 0 }, "reliability_30d": { "uptime_pct": 99.94, "p95_latency_ms": 820 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "name": { "type": "string", "description": "Provider slug (anthropic, openai, google, mistral, cohere, etc.). 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Pass the CVE id as the URL path segment.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "source_format": "mitre_cve_v5_2", "target_format": "tensorfeed_llm_ready_v1", "cve_id": "CVE-2024-3094", "severity_band": "critical", "cwes": [ "CWE-506" ], "affected_products": [ "xz-utils" ], "references_top_5": [ "https://nvd.nist.gov/vuln/detail/CVE-2024-3094" ], "attribution": { "source": "MITRE CVE List v5.2", "license": "Terms of Use" } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "CVE record (LLM-ready)", "description": "LLM-ready CVE record. Around 80 percent token reduction versus raw MITRE v5.2, with derived severity_band, deduped CWEs, flat affected_products list, and the top 5 references. 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Optional series=true returns first/min/max summary instead of the full daily-score series.", "tier": 1, "credits": 1, "category": "ai-cve-cleaner-epss" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" }, "queryParams": { "series": false } }, "output": { "type": "json", "example": { "ok": true, "source_format": "first_org_epss_v1", "target_format": "tensorfeed_llm_ready_v1", "included_series": false, "cve_id": "CVE-2024-3094", "epss": 0.9415, "percentile": 0.9981, "risk_band": "critical", "attribution": { "source": "FIRST.org EPSS v3", "license": "FIRST.org Terms of Use" } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] }, "queryParams": { "type": "object", "properties": { "series": { "type": "boolean", "description": "true returns first/min/max summary; false (default) returns current score." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/clean/epss/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/verified/:id", "description": "Cross-database CVE verification. 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Composes MITRE CVE plus CISA KEV plus FIRST.org EPSS plus OSV.dev plus CISA Vulnrichment into one fact card with a confirmed_by array and corroboration_count. The single-call anti-hallucination lookup for security agents. Pass the CVE id as the URL path segment.", "tier": 1, "credits": 1, "category": "ai-cve-corroborated" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "id": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "ok": true, "cve_id": "CVE-2024-3094", "corroboration_count": 5, "confirmed_by": [ "mitre_cve", "cisa_kev", "first_org_epss", "osv_dev", "cisa_vulnrichment" ], "severity_consensus": "critical", "exploited_in_wild": true, "attribution": { "sources": [ "MITRE CVE", "CISA KEV", "FIRST.org EPSS", "OSV.dev", "CISA Vulnrichment" ] } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "id": { "type": "string", "description": "CVE id in canonical CVE-YYYY-NNNNN form." } }, "required": [ "id" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/security/verified/:id" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-companies/:ticker", "description": "Per-ticker AI intelligence envelope. Pass an AI bellwether ticker (NVDA, AMD, AVGO, TSM, ARM, MSFT, GOOGL, AMZN, ORCL, PLTR, SMCI, AAPL, META, TSLA) as the URL path segment. Returns latest 10 SEC filings, latest 10 news mentions filtered by curated aliases, strategic and equity rounds where the company is a lead or notable investor, plus cohort metadata. One call replaces four free siblings (sec/filings, news, funding, cohort registry) plus the agent-side alias filter. Single captured-at timestamp, one freshness SLA across all four buckets.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "pathParams": { "ticker": "NVDA" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-27T18:00:00Z", "ticker": "NVDA", "cohort_size": 14, "company": { "ticker": "NVDA", "cik": "0001045810", "display_name": "NVIDIA", "category": "silicon", "ai_angle": "The dominant supplier of AI training and inference GPUs.", "exchange": "NASDAQ" }, "filings": { "count": 10, "items": [ { "accession_number": "0001045810-26-000052", "form": "10-Q", "filing_date": "2026-05-20", "primary_doc_url": "https://www.sec.gov/Archives/edgar/data/1045810/..." } ], "source": "data.sec.gov/submissions", "license": "Public domain (17 USC 105). SEC EDGAR." }, "news": { "count": 4, "items": [ { "id": "abc123", "title": "NVIDIA announces Rubin successor at GTC", "url": "https://example.com/nvda-rubin", "source": "TechCrunch AI", "publishedAt": "2026-05-27T14:00:00Z", "matched_aliases": [ "NVIDIA" ] } ], "aliases_used": [ "NVIDIA", "Nvidia" ], "sanitization": "enabled" }, "funding_as_investor": { "count": 0, "items": [], "description": "Strategic and equity rounds where this company is listed as a lead or notable investor in TensorFeed funding registry." }, "attribution": { "sources": [ "SEC EDGAR (data.sec.gov/submissions). Public domain (17 USC 105).", "TensorFeed.ai news aggregator (sanitized for agents).", "TensorFeed.ai funding registry (editorial)." ], "notes": "Envelope captured at one moment in time; filings refresh every 6 hours, news every 10 minutes. Freshness SLA: 9h." } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Per-ticker AI intelligence", "description": "Per-ticker AI intelligence envelope. Pass an AI bellwether ticker (NVDA, AMD, AVGO, TSM, ARM, MSFT, GOOGL, AMZN, ORCL, PLTR, SMCI, AAPL, META, TSLA) as the URL path segment. Returns latest 10 SEC filings, latest 10 news mentions filtered by curated aliases, strategic and equity rounds where the company is a lead or notable investor, plus cohort metadata. One call replaces four free siblings (sec/filings, news, funding, cohort registry) plus the agent-side alias filter. Single captured-at timestamp, one freshness SLA across all four buckets.", "tier": 1, "credits": 1, "category": "ai-company-intel" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "ticker": "NVDA" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-05-27T18:00:00Z", "ticker": "NVDA", "cohort_size": 14, "company": { "ticker": "NVDA", "cik": "0001045810", "display_name": "NVIDIA", "category": "silicon", "ai_angle": "The dominant supplier of AI training and inference GPUs.", "exchange": "NASDAQ" }, "filings": { "count": 10, "items": [ { "accession_number": "0001045810-26-000052", "form": "10-Q", "filing_date": "2026-05-20", "primary_doc_url": "https://www.sec.gov/Archives/edgar/data/1045810/..." } ], "source": "data.sec.gov/submissions", "license": "Public domain (17 USC 105). SEC EDGAR." }, "news": { "count": 4, "items": [ { "id": "abc123", "title": "NVIDIA announces Rubin successor at GTC", "url": "https://example.com/nvda-rubin", "source": "TechCrunch AI", "publishedAt": "2026-05-27T14:00:00Z", "matched_aliases": [ "NVIDIA" ] } ], "aliases_used": [ "NVIDIA", "Nvidia" ], "sanitization": "enabled" }, "funding_as_investor": { "count": 0, "items": [], "description": "Strategic and equity rounds where this company is listed as a lead or notable investor in TensorFeed funding registry." }, "attribution": { "sources": [ "SEC EDGAR (data.sec.gov/submissions). Public domain (17 USC 105).", "TensorFeed.ai news aggregator (sanitized for agents).", "TensorFeed.ai funding registry (editorial)." ], "notes": "Envelope captured at one moment in time; filings refresh every 6 hours, news every 10 minutes. Freshness SLA: 9h." } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "ticker": { "type": "string", "description": "AI bellwether ticker (NVDA, AMD, AVGO, TSM, ARM, MSFT, GOOGL, AMZN, ORCL, PLTR, SMCI, AAPL, META, TSLA). Case-insensitive." } }, "required": [ "ticker" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/ai-companies/:ticker" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/ssvc-verdict", "description": "SSVC Decision Verdict. Should an agent patch this CVE now? Pass ?cve=CVE-2024-3094 and get the CISA SSVC Coordinator decision (Act, Attend, Track, or Track*) computed from CISA Vulnrichment, returned as the full low/medium/high Mission and Well-being envelope with a per-level reasoning trace and an AFTA-signed receipt. CISA records the three decision points but never the decision; this computes and signs it. US Government public domain.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "cve": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "cve": "CVE-2024-3094", "verdict_kind": "ssvc_decision", "decision_points": { "exploitation": "none", "automatable": "yes", "technical_impact": "total" }, "decision_primary": "Track", "decision_envelope": { "low": "Track", "medium": "Track", "high": "Attend" }, "tree": { "name": "CISA SSVC Coordinator", "version": "2.0.3", "source_url": "https://github.com/CERTCC/SSVC/blob/main/docs/ssvc-calc/CISA-Coordinator.json" }, "scored_at": "2024-04-02T04:00:23.138684Z", "source": { "record": "/api/security/vulnrichment/CVE-2024-3094", "publisher": "CISA Vulnrichment", "license": "US Government public domain (17 USC 105)" }, "billing": { "credits_charged": 1, "credits_remaining": 49 }, "kev_cross_check": { "checked": true, "kev_listed": true, "flag": "exploitation_understated", "recorded_exploitation": "none", "implied_exploitation": "active", "kev_date_added": "2024-03-29", "kev_catalog_date": "2026-06-03", "adjusted_primary": "Act", "adjusted_envelope": { "low": "Attend", "medium": "Act", "high": "Act" } } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "SSVC decision verdict", "description": "SSVC Decision Verdict. Should an agent patch this CVE now? Pass ?cve=CVE-2024-3094 and get the CISA SSVC Coordinator decision (Act, Attend, Track, or Track*) computed from CISA Vulnrichment, returned as the full low/medium/high Mission and Well-being envelope with a per-level reasoning trace and an AFTA-signed receipt. CISA records the three decision points but never the decision; this computes and signs it. US Government public domain.", "tier": 1, "credits": 1, "category": "ai-ssvc-verdict" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "cve": "CVE-2024-3094" } }, "output": { "type": "json", "example": { "cve": "CVE-2024-3094", "verdict_kind": "ssvc_decision", "decision_points": { "exploitation": "none", "automatable": "yes", "technical_impact": "total" }, "decision_primary": "Track", "decision_envelope": { "low": "Track", "medium": "Track", "high": "Attend" }, "tree": { "name": "CISA SSVC Coordinator", "version": "2.0.3", "source_url": "https://github.com/CERTCC/SSVC/blob/main/docs/ssvc-calc/CISA-Coordinator.json" }, "scored_at": "2024-04-02T04:00:23.138684Z", "source": { "record": "/api/security/vulnrichment/CVE-2024-3094", "publisher": "CISA Vulnrichment", "license": "US Government public domain (17 USC 105)" }, "billing": { "credits_charged": 1, "credits_remaining": 49 }, "kev_cross_check": { "checked": true, "kev_listed": true, "flag": "exploitation_understated", "recorded_exploitation": "none", "implied_exploitation": "active", "kev_date_added": "2024-03-29", "kev_catalog_date": "2026-06-03", "adjusted_primary": "Act", "adjusted_envelope": { "low": "Attend", "medium": "Act", "high": "Act" } } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "cve": { "type": "string", "description": "A CVE id in CVE-YYYY-NNNNN form (e.g. CVE-2024-3094). One per call. The CVE must have a CISA Vulnrichment SSVC record." } }, "required": [ "cve" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } } } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/security/package-verdict", "description": "AI package safety verdict. Should an agent install this package? Pass ?package=langchain&ecosystem=PyPI (npm also supported) and get a single GO, REVIEW, or BLOCK ruling fusing the known-malicious IOC list, the OSV advisory snapshot of curated AI/ML packages, the GHSA AI-relevant advisory firehose, and release cadence, with an AFTA-signed receipt. BLOCK on known-malicious, REVIEW on open critical or high advisories, GO when covered and clean. A package outside TensorFeed AI/ML coverage is no-charge, never a false GO.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "package": "langchain", "ecosystem": "PyPI", "version": "0.2.0" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "package_safety", "package": "langchain", "ecosystem": "PyPI", "version": "0.2.0", "verdict": "REVIEW", "risk_score": 39, "risk_band": "hot", "reasons": [ { "signal": "osv", "severity": "high", "detail": "OSV risk_band is hot (risk_score 39): 1 critical and 2 high advisories in the last 90 days.", "source_url": "https://osv.dev/vulnerability/GHSA-xxxx-xxxx-xxxx" } ], "coverage_sources": [ "osv", "release" ], "recommendation": "Review before installing langchain. There are open advisories; pin to a patched version where a first_patched_version is listed.", "captured_at": "2026-06-06T05:45:00Z", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Package safety verdict", "description": "AI package safety verdict. Should an agent install this package? Pass ?package=langchain&ecosystem=PyPI (npm also supported) and get a single GO, REVIEW, or BLOCK ruling fusing the known-malicious IOC list, the OSV advisory snapshot of curated AI/ML packages, the GHSA AI-relevant advisory firehose, and release cadence, with an AFTA-signed receipt. BLOCK on known-malicious, REVIEW on open critical or high advisories, GO when covered and clean. A package outside TensorFeed AI/ML coverage is no-charge, never a false GO.", "tier": 1, "credits": 1, "category": "ai-package-safety-verdict" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "package": "langchain", "ecosystem": "PyPI", "version": "0.2.0" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "package_safety", "package": "langchain", "ecosystem": "PyPI", "version": "0.2.0", "verdict": "REVIEW", "risk_score": 39, "risk_band": "hot", "reasons": [ { "signal": "osv", "severity": "high", "detail": "OSV risk_band is hot (risk_score 39): 1 critical and 2 high advisories in the last 90 days.", "source_url": "https://osv.dev/vulnerability/GHSA-xxxx-xxxx-xxxx" } ], "coverage_sources": [ "osv", "release" ], "recommendation": "Review before installing langchain. There are open advisories; pin to a patched version where a first_patched_version is listed.", "captured_at": "2026-06-06T05:45:00Z", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "package": { "type": "string", "description": "Package name to evaluate (e.g. langchain). Required." }, "ecosystem": { "type": "string", "enum": [ "PyPI", "npm", "pip" ], "description": "Package registry. pip is accepted as PyPI. Required." }, "version": { "type": "string", "description": "Optional version under consideration. Echoed; advisory ranges are surfaced for your comparison." } }, "required": [ "package", "ecosystem" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/resilience/concentration-verdict", "description": "Dependency concentration verdict. How exposed is your AI stack to a single point of failure? Pass ?providers=openai,anthropic,google (comma-separated, aliases like claude, gpt, gemini, bedrock, azure accepted) and get a RESILIENT, EXPOSED, or CRITICAL ruling fusing TensorFeed measured reliability with live provider status: which providers are impaired right now, your weakest link, and the most dependable provider to add for redundancy, with an AFTA-signed receipt. No-charge when none of your providers are tracked.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "providers": "openai,anthropic,google" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "dependency_concentration", "verdict": "EXPOSED", "provider_count": 3, "single_point_of_failure": false, "providers": [ { "input": "openai", "provider": "OpenAI", "reliability_score": 0.98, "reliability_rank": 1, "measured": true, "current_status": "operational" }, { "input": "anthropic", "provider": "Anthropic", "reliability_score": 0.97, "reliability_rank": 2, "measured": true, "current_status": "degraded" }, { "input": "google", "provider": "Google", "reliability_score": 0.95, "reliability_rank": 3, "measured": true, "current_status": "operational" } ], "unrecognized": [], "currently_impaired": [ "Anthropic" ], "weakest_link": { "input": "anthropic", "provider": "Anthropic", "reliability_score": 0.97, "reliability_rank": 2, "measured": true, "current_status": "degraded" }, "diversification": { "suggested": [ { "provider": "AWS", "reliability_score": 0.96, "rank": 4 } ], "note": "Highest-reliability tracked providers you are not already using, by measured dependability." }, "recommendation": "Exposed: Anthropic impaired right now. Keep a healthy fallback ready and consider adding AWS.", "captured_at": "2026-06-06T12:00:00Z", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Dependency concentration verdict", "description": "Dependency concentration verdict. How exposed is your AI stack to a single point of failure? Pass ?providers=openai,anthropic,google (comma-separated, aliases like claude, gpt, gemini, bedrock, azure accepted) and get a RESILIENT, EXPOSED, or CRITICAL ruling fusing TensorFeed measured reliability with live provider status: which providers are impaired right now, your weakest link, and the most dependable provider to add for redundancy, with an AFTA-signed receipt. No-charge when none of your providers are tracked.", "tier": 1, "credits": 1, "category": "ai-dependency-concentration" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "providers": "openai,anthropic,google" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "dependency_concentration", "verdict": "EXPOSED", "provider_count": 3, "single_point_of_failure": false, "providers": [ { "input": "openai", "provider": "OpenAI", "reliability_score": 0.98, "reliability_rank": 1, "measured": true, "current_status": "operational" }, { "input": "anthropic", "provider": "Anthropic", "reliability_score": 0.97, "reliability_rank": 2, "measured": true, "current_status": "degraded" }, { "input": "google", "provider": "Google", "reliability_score": 0.95, "reliability_rank": 3, "measured": true, "current_status": "operational" } ], "unrecognized": [], "currently_impaired": [ "Anthropic" ], "weakest_link": { "input": "anthropic", "provider": "Anthropic", "reliability_score": 0.97, "reliability_rank": 2, "measured": true, "current_status": "degraded" }, "diversification": { "suggested": [ { "provider": "AWS", "reliability_score": 0.96, "rank": 4 } ], "note": "Highest-reliability tracked providers you are not already using, by measured dependability." }, "recommendation": "Exposed: Anthropic impaired right now. Keep a healthy fallback ready and consider adding AWS.", "captured_at": "2026-06-06T12:00:00Z", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "providers": { "type": "string", "description": "Comma-separated AI providers you depend on (e.g. openai,anthropic,google). Aliases like claude, gpt, gemini, bedrock, azure accepted. Required." } }, "required": [ "providers" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/inference/cost-verdict", "description": "Inference cost verdict. Where should an agent run this open-weight model the cheapest? Pass ?model=llama-3.1-70b&monthly_tokens=100000000 (optionally current_provider=Together AI) and get the cheapest inference host, per-host projected monthly spend, throughput context, and the savings versus your current host, with an AFTA-signed receipt. Ranked by cost with throughput as the secondary signal. No-charge when the model is not in the matrix.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "llama-3.1-70b", "monthly_tokens": 100000000, "current_provider": "Together AI" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "inference_cost", "model": "Llama 3.1 70B", "model_id": "llama-3.1-70b", "family": "Meta", "cheapest": { "provider": "DeepInfra", "monthly_cost_usd": 37.5, "input_price_per_1m": 0.35, "output_price_per_1m": 0.4, "blended_price_per_1m": 0.375, "output_tps": 95, "context_window": 130000, "url": "https://deepinfra.com/pricing" }, "current": { "provider": "Together AI", "monthly_cost_usd": 88 }, "savings": { "vs_current_usd": 50.5, "vs_current_pct": 57.4 }, "fastest": { "provider": "Groq", "output_tps": 250 }, "recommendation": "For Llama 3.1 70B at the stated volume, DeepInfra is the cheapest host at $37.5 per month. Switching from Together AI saves $50.5 per month (57.4 percent).", "matrix_last_updated": "2026-05-24", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Inference cost verdict", "description": "Inference cost verdict. Where should an agent run this open-weight model the cheapest? Pass ?model=llama-3.1-70b&monthly_tokens=100000000 (optionally current_provider=Together AI) and get the cheapest inference host, per-host projected monthly spend, throughput context, and the savings versus your current host, with an AFTA-signed receipt. Ranked by cost with throughput as the secondary signal. No-charge when the model is not in the matrix.", "tier": 1, "credits": 1, "category": "ai-inference-cost" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "llama-3.1-70b", "monthly_tokens": 100000000, "current_provider": "Together AI" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "inference_cost", "model": "Llama 3.1 70B", "model_id": "llama-3.1-70b", "family": "Meta", "cheapest": { "provider": "DeepInfra", "monthly_cost_usd": 37.5, "input_price_per_1m": 0.35, "output_price_per_1m": 0.4, "blended_price_per_1m": 0.375, "output_tps": 95, "context_window": 130000, "url": "https://deepinfra.com/pricing" }, "current": { "provider": "Together AI", "monthly_cost_usd": 88 }, "savings": { "vs_current_usd": 50.5, "vs_current_pct": 57.4 }, "fastest": { "provider": "Groq", "output_tps": 250 }, "recommendation": "For Llama 3.1 70B at the stated volume, DeepInfra is the cheapest host at $37.5 per month. Switching from Together AI saves $50.5 per month (57.4 percent).", "matrix_last_updated": "2026-05-24", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "model": { "type": "string", "description": "Open-weight model id, e.g. llama-3.1-70b. Required." }, "monthly_tokens": { "type": "number", "description": "Total monthly tokens (blended 50/50 input and output). Provide this or input_tokens plus output_tokens." }, "input_tokens": { "type": "number", "description": "Monthly input tokens, for an exact split." }, "output_tokens": { "type": "number", "description": "Monthly output tokens, for an exact split." }, "current_provider": { "type": "string", "description": "Optional current host, for a savings comparison (e.g. Together AI)." } }, "required": [ "model" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/models/frontier", "description": "Model price-performance frontier. Which models can an agent rule out entirely? Pass ?task=code (or reasoning, creative, general) and get the Pareto-optimal set of models on a capability (contamination-discounted TFII subscore) versus blended-price plane, plus every dominated model flagged with the cheaper, at-least-as-capable model that dominates it, with an AFTA-signed receipt. A dominated model is never the rational pick.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "task": "code" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "price_performance_frontier", "task": "code", "capability_metric": "TFII code subscore (0-100)", "price_metric": "blended USD per 1M tokens", "frontier": [ { "model_id": "claude-opus-4-8", "name": "Claude Opus 4.8", "provider": "Anthropic", "capability": 92, "blended_price": 30, "input_price": 15, "output_price": 45, "low_coverage": false }, { "model_id": "gpt-5-mini", "name": "GPT-5 mini", "provider": "OpenAI", "capability": 78, "blended_price": 1.2, "input_price": 0.4, "output_price": 2, "low_coverage": false } ], "dominated": [ { "model_id": "legacy-model", "name": "Legacy Model", "provider": "Example", "capability": 70, "blended_price": 5, "input_price": 4, "output_price": 6, "low_coverage": false, "dominated_by": { "model_id": "gpt-5-mini", "name": "GPT-5 mini", "capability": 78, "blended_price": 1.2 } } ], "counts": { "intelligence_models": 40, "priced": 36, "frontier": 6, "dominated": 30, "unpriced_skipped": 4 }, "as_of": "2026-06-06", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Price-performance frontier", "description": "Model price-performance frontier. Which models can an agent rule out entirely? Pass ?task=code (or reasoning, creative, general) and get the Pareto-optimal set of models on a capability (contamination-discounted TFII subscore) versus blended-price plane, plus every dominated model flagged with the cheaper, at-least-as-capable model that dominates it, with an AFTA-signed receipt. A dominated model is never the rational pick.", "tier": 1, "credits": 1, "category": "ai-price-performance-frontier" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "task": "code" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "price_performance_frontier", "task": "code", "capability_metric": "TFII code subscore (0-100)", "price_metric": "blended USD per 1M tokens", "frontier": [ { "model_id": "claude-opus-4-8", "name": "Claude Opus 4.8", "provider": "Anthropic", "capability": 92, "blended_price": 30, "input_price": 15, "output_price": 45, "low_coverage": false }, { "model_id": "gpt-5-mini", "name": "GPT-5 mini", "provider": "OpenAI", "capability": 78, "blended_price": 1.2, "input_price": 0.4, "output_price": 2, "low_coverage": false } ], "dominated": [ { "model_id": "legacy-model", "name": "Legacy Model", "provider": "Example", "capability": 70, "blended_price": 5, "input_price": 4, "output_price": 6, "low_coverage": false, "dominated_by": { "model_id": "gpt-5-mini", "name": "GPT-5 mini", "capability": 78, "blended_price": 1.2 } } ], "counts": { "intelligence_models": 40, "priced": 36, "frontier": 6, "dominated": 30, "unpriced_skipped": 4 }, "as_of": "2026-06-06", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "task": { "type": "string", "enum": [ "code", "reasoning", "creative", "general" ], "description": "Capability axis: the TFII subscore for this task. Default general (the headline)." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/stack-drift-verdict", "description": "Stack drift verdict. What moved under your AI stack that could break you? Pass ?models=gpt-4o,claude-3-opus&packages=langchain,fastapi&protocols=mcp&since_days=14 and get a STABLE, WATCH, or ACTION_NEEDED ruling on deprecated or sunsetting models, breaking package major bumps, and agent-protocol spec bumps in the window, each classified by break-risk with a recommended action and an AFTA-signed receipt. At least one of models, packages, or protocols is required. No-charge when nothing in your stack is tracked.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "models": "gpt-4o,claude-3-opus", "packages": "langchain", "protocols": "mcp", "since_days": 14 } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "stack_drift", "verdict": "ACTION_NEEDED", "window": { "since_days": 14, "from": "2026-05-23", "to": "2026-06-06" }, "findings": [ { "kind": "model", "subject": "claude-3-opus", "resolved": "Claude 3 Opus", "signal": "deprecated", "break_risk": "high", "detail": "Claude 3 Opus is deprecated, sunset 2026-07-21 (45 days).", "recommended_action": "Migrate to claude-opus-4-8.", "source_url": "https://www.anthropic.com", "at": "2026-07-21" } ], "counts": { "high": 1, "medium": 0, "low": 0, "info": 0, "total": 1, "assessed": 3 }, "unmatched": { "models": [], "packages": [], "protocols": [] }, "recommendation": "1 high-risk change(s) under your stack in the last 14 days. Act now: Claude 3 Opus is deprecated, sunset 2026-07-21 (45 days).", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Stack drift verdict", "description": "Stack drift verdict. What moved under your AI stack that could break you? Pass ?models=gpt-4o,claude-3-opus&packages=langchain,fastapi&protocols=mcp&since_days=14 and get a STABLE, WATCH, or ACTION_NEEDED ruling on deprecated or sunsetting models, breaking package major bumps, and agent-protocol spec bumps in the window, each classified by break-risk with a recommended action and an AFTA-signed receipt. At least one of models, packages, or protocols is required. No-charge when nothing in your stack is tracked.", "tier": 1, "credits": 1, "category": "ai-stack-drift" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "models": "gpt-4o,claude-3-opus", "packages": "langchain", "protocols": "mcp", "since_days": 14 } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "stack_drift", "verdict": "ACTION_NEEDED", "window": { "since_days": 14, "from": "2026-05-23", "to": "2026-06-06" }, "findings": [ { "kind": "model", "subject": "claude-3-opus", "resolved": "Claude 3 Opus", "signal": "deprecated", "break_risk": "high", "detail": "Claude 3 Opus is deprecated, sunset 2026-07-21 (45 days).", "recommended_action": "Migrate to claude-opus-4-8.", "source_url": "https://www.anthropic.com", "at": "2026-07-21" } ], "counts": { "high": 1, "medium": 0, "low": 0, "info": 0, "total": 1, "assessed": 3 }, "unmatched": { "models": [], "packages": [], "protocols": [] }, "recommendation": "1 high-risk change(s) under your stack in the last 14 days. Act now: Claude 3 Opus is deprecated, sunset 2026-07-21 (45 days).", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "models": { "type": "string", "description": "Comma-separated model ids you depend on." }, "packages": { "type": "string", "description": "Comma-separated PyPI or npm package names you depend on." }, "protocols": { "type": "string", "description": "Comma-separated agent protocols you use (mcp, x402, a2a)." }, "since_days": { "type": "number", "description": "Lookback window in days. Default 14, max 365." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/model-migration-verdict", "description": "Model migration verdict. Your model is sunsetting, what do you move to? Pass ?model=claude-3-opus (optionally deadline=2026-08-01) and get MIGRATE_NOW, MIGRATE_SOON, or NO_ACTION with the recommended successor, the blended-cost delta, the capability (TFII) delta, days until sunset, and a drop-in note, with an AFTA-signed receipt. No-charge when the model is in no TensorFeed source.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "claude-3-opus", "deadline": "2026-08-01" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "model_migration", "verdict": "MIGRATE_NOW", "model": { "id": "claude-3-opus", "name": "Claude 3 Opus", "provider": "Anthropic", "cost_blended_per_1m": 30, "capability_tfii": 74 }, "deprecation": { "status": "deprecated", "sunset_date": "2026-07-21", "days_until_sunset": 45, "urgency_band": "within_60d" }, "successor": { "id": "claude-opus-4-8", "name": "Claude Opus 4.8", "provider": "Anthropic", "cost_blended_per_1m": 30, "capability_tfii": 92 }, "deltas": { "cost_blended_per_1m": 0, "cost_pct": 0, "capability_tfii": 18 }, "drop_in": { "same_provider": true, "note": "Same provider, so the migration is likely an id swap with minor parameter changes." }, "migration_chain": [ "claude-opus-4-8" ], "deadline": { "date": "2026-08-01", "days_from_now": 56, "sunset_before_deadline": true }, "recommendation": "Claude 3 Opus is deprecated, sunset 2026-07-21 (45 days). Migrate to Claude Opus 4.8. The successor is same blended cost, TFII up 18. Sunset lands before your stated deadline; pull the migration forward.", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "Model migration verdict", "description": "Model migration verdict. Your model is sunsetting, what do you move to? Pass ?model=claude-3-opus (optionally deadline=2026-08-01) and get MIGRATE_NOW, MIGRATE_SOON, or NO_ACTION with the recommended successor, the blended-cost delta, the capability (TFII) delta, days until sunset, and a drop-in note, with an AFTA-signed receipt. No-charge when the model is in no TensorFeed source.", "tier": 1, "credits": 1, "category": "ai-model-migration" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "claude-3-opus", "deadline": "2026-08-01" } }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "model_migration", "verdict": "MIGRATE_NOW", "model": { "id": "claude-3-opus", "name": "Claude 3 Opus", "provider": "Anthropic", "cost_blended_per_1m": 30, "capability_tfii": 74 }, "deprecation": { "status": "deprecated", "sunset_date": "2026-07-21", "days_until_sunset": 45, "urgency_band": "within_60d" }, "successor": { "id": "claude-opus-4-8", "name": "Claude Opus 4.8", "provider": "Anthropic", "cost_blended_per_1m": 30, "capability_tfii": 92 }, "deltas": { "cost_blended_per_1m": 0, "cost_pct": 0, "capability_tfii": 18 }, "drop_in": { "same_provider": true, "note": "Same provider, so the migration is likely an id swap with minor parameter changes." }, "migration_chain": [ "claude-opus-4-8" ], "deadline": { "date": "2026-08-01", "days_from_now": 56, "sunset_before_deadline": true }, "recommendation": "Claude 3 Opus is deprecated, sunset 2026-07-21 (45 days). Migrate to Claude Opus 4.8. The successor is same blended cost, TFII up 18. Sunset lands before your stated deadline; pull the migration forward.", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "model": { "type": "string", "description": "Model id you depend on, e.g. claude-3-opus. Required." }, "deadline": { "type": "string", "description": "Optional YYYY-MM-DD migration deadline, reconciled against the sunset date." } }, "required": [ "model" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/news/decision-verified/search", "description": "Full-text search over TensorFeed signed verified-decision news clusters. One paid call returns matching story clusters ranked by corroboration, each with a verification tier (single through widely-reported), source count, source-diversity score, and the underlying articles. The agent-facing \"how broadly is this story confirmed\" search.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "q": "openai restructuring", "min_sources": 4 } }, "output": { "type": "json", "example": { "ok": true, "mode": "search", "query": { "q": "openai restructuring", "since": "2026-04-30", "until": null, "min_sources": 4, "limit": 25 }, "scanned_dates": 30, "total_clusters_scanned": 612, "matched": 3, "returned": 1, "results": [ { "cluster_id": "c-2026-05-12-0007", "date": "2026-05-12", "claim_proxy": "OpenAI completes for-profit restructuring under nonprofit parent", "hero_url": "https://www.reuters.com/technology/openai-restructuring", "verification": { "tier": "broadly-verified", "source_count": 11, "article_count": 14, "source_diversity_score": 0.7857, "time_span_hours": 9.4, "first_seen_at": "2026-05-12T08:05:00Z", "last_seen_at": "2026-05-12T17:29:00Z", "corroboration_band": "broad" }, "sources": [ { "source": "Reuters", "article_count": 2, "first_published": null }, { "source": "Bloomberg", "article_count": 1, "first_published": null } ], "articles": [ { "id": "art-9f21", "title": "OpenAI completes for-profit restructuring under nonprofit parent", "url": "https://www.reuters.com/technology/openai-restructuring", "source": "Reuters", "publishedAt": "2026-05-12T08:05:00Z" } ] } ], "attribution": { "source": "TensorFeed.ai daily news clustering over 100+ public RSS sources.", "derivation": "RSS articles are embedded with Workers AI then single-link clustered per UTC day. 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A known publisher with no settlements in the window returns an empty receipt for free; an unindexed domain returns 404 with a hint.", "tier": 1, "credits": 1, "category": "x402-publisher-settlement" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "pathParams": { "domain": "tensorfeed.ai" }, "queryParams": { "from": "2026-05-28", "to": "2026-05-29" } }, "output": { "type": "json", "example": { "ok": true, "publisher": { "domain": "tensorfeed.ai", "pay_to_wallets": [ "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1" ], "first_seen": "2026-05-28" }, "window": { "from": "2026-05-28", "to": "2026-05-29", "days": 2 }, "rollup": { "volume_usdc": "1.020000", "count": 51, "avg_amount": "0.020000", "daily_series": [ { "date": "2026-05-28", "volume_usdc": "1.020000", "count": 51 } ] }, "captured_at": "2026-05-29T18:00:00Z", "has_data": true, "attribution": "TensorFeed x402 settlement index (Base USDC, forward-only from 2026-05-28).", "license": "TensorFeed.ai editorial index. Attribution required." } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "pathParams": { "type": "object", "properties": { "domain": { "type": "string", "description": "Publisher domain as a single path segment (e.g. tensorfeed.ai). Canonicalized server-side; case-insensitive. Must be present in the x402 publisher registry (see /api/x402-index/publishers)." } }, "required": [ "domain" ] }, "queryParams": { "type": "object", "properties": { "from": { "type": "string", "description": "Window start, YYYY-MM-DD. Required." }, "to": { "type": "string", "description": "Window end, YYYY-MM-DD. Required." } }, "required": [ "from", "to" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] }, "routeTemplate": "/api/premium/x402-index/publisher/:domain" } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/x402-publisher-verdict", "description": "x402 Publisher Trust Verdict. Pass one publisher domain and get a signed ruling on whether it is safe to pay: is its Base payTo wallet actively settling USDC (on-chain settlement inside the last 14 days), what is its 30-day settlement momentum (expanding, steady, contracting, or nascent), and is the wallet shared with another publisher so the counts cannot be split. Returns the verdict, the momentum, a trust block with the registered payTo wallets and first/last settled dates, and the settlement evidence (30-day volume, count, and daily series), plus an AFTA-signed receipt. Computed over TensorFeed's own index of Base USDC settlements, not a market-wide claim. The \"should I trust this x402 publisher\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "domain": "x402.tavily.com" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-06-04T11:55:00Z", "domain": "x402.tavily.com", "verdict": "actively_settling", "momentum": "expanding", "trust": { "wallet_shared": false, "disclosure": null, "pay_to_wallets": [ "0xc78f83c13ba79be3781e7c5f658d1341729515b0" ], "first_seen": "2026-05-29", "first_settled": "2026-05-29", "last_settled": "2026-06-03" }, "evidence": { "window_days": 30, "volume_usdc": "12.500000", "count": 40, "avg_amount": "0.312500", "daily_series": [ { "date": "2026-05-29", "volume_usdc": "5.000000", "count": 16 }, { "date": "2026-06-03", "volume_usdc": "7.500000", "count": 24 } ] }, "claim": "x402.tavily.com is actively settling USDC on Base: a verified payTo wallet with on-chain settlement inside the last 14 days.", "notes": [ "TF indexes x402 settlement on Base forward-only from 2026-05-28; windows that predate that read as empty." ], "attribution": { "sources": [ "Base mainnet USDC Transfer events (on-chain)" ], "license": "CC BY 4.0" }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-06T00:00:00Z", "metadata": { "name": "x402 publisher verdict", "description": "x402 Publisher Trust Verdict. Pass one publisher domain and get a signed ruling on whether it is safe to pay: is its Base payTo wallet actively settling USDC (on-chain settlement inside the last 14 days), what is its 30-day settlement momentum (expanding, steady, contracting, or nascent), and is the wallet shared with another publisher so the counts cannot be split. Returns the verdict, the momentum, a trust block with the registered payTo wallets and first/last settled dates, and the settlement evidence (30-day volume, count, and daily series), plus an AFTA-signed receipt. Computed over TensorFeed's own index of Base USDC settlements, not a market-wide claim. The \"should I trust this x402 publisher\" call.", "tier": 1, "credits": 1, "category": "x402-publisher-verdict" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "domain": "x402.tavily.com" } }, "output": { "type": "json", "example": { "ok": true, "capturedAt": "2026-06-04T11:55:00Z", "domain": "x402.tavily.com", "verdict": "actively_settling", "momentum": "expanding", "trust": { "wallet_shared": false, "disclosure": null, "pay_to_wallets": [ "0xc78f83c13ba79be3781e7c5f658d1341729515b0" ], "first_seen": "2026-05-29", "first_settled": "2026-05-29", "last_settled": "2026-06-03" }, "evidence": { "window_days": 30, "volume_usdc": "12.500000", "count": 40, "avg_amount": "0.312500", "daily_series": [ { "date": "2026-05-29", "volume_usdc": "5.000000", "count": 16 }, { "date": "2026-06-03", "volume_usdc": "7.500000", "count": 24 } ] }, "claim": "x402.tavily.com is actively settling USDC on Base: a verified payTo wallet with on-chain settlement inside the last 14 days.", "notes": [ "TF indexes x402 settlement on Base forward-only from 2026-05-28; windows that predate that read as empty." ], "attribution": { "sources": [ "Base mainnet USDC Transfer events (on-chain)" ], "license": "CC BY 4.0" }, "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "domain": { "type": "string", "description": "Publisher domain to rule on (e.g. x402.tavily.com). Canonicalized server-side; case-insensitive. Required." } }, "required": [ "domain" ] } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/ai-capex-cycle-verdict", "description": "AI Capex Cycle Verdict. One paid call ranks the current AI infrastructure buildout against six historical technology capital buildouts (UK and US railways, electrification, the Bell telephone network, the dotcom telecom-fiber overbuild) on the single cross-era-comparable axis: peak annual capex as a share of GDP. Returns a MODERATE / ELEVATED / EXTREME / UNPRECEDENTED band, the current rank, the closest and farthest historical analog, the equities-led cycles flagged separately as sentiment outliers, the post-bust dimensions that cannot be scored while a cycle is in progress, and an AFTA-signed receipt. It deliberately does not call bubble or not-a-bubble. No params. The \"how does the AI buildout compare to past capital manias\" call.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET" }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "capex_cycle_analog", "verdict": "ELEVATED", "ranked_dimension": "peak_capex_pct_gdp", "current_cycle": { "id": "ai-buildout", "name": "AI infrastructure buildout", "peak_capex_pct_gdp": 1.887, "annual_capex_usd_b": 600, "in_progress": true }, "current_rank": 3, "total_ranked": 6, "exceeds_all_priors": false, "ranking": [ { "id": "uk-railway-mania", "name": "UK Railway Mania", "peak_capex_pct_gdp": 7, "is_current": false }, { "id": "us-railroad-1873", "name": "US Railroad Boom and Panic of 1873", "peak_capex_pct_gdp": 4.8, "is_current": false }, { "id": "ai-buildout", "name": "AI infrastructure buildout", "peak_capex_pct_gdp": 1.887, "is_current": true }, { "id": "dotcom-fiber", "name": "Dotcom and Telecom-Fiber Overbuild", "peak_capex_pct_gdp": 1.2, "is_current": false } ], "closest_analog": { "cycle_id": "dotcom-fiber", "name": "Dotcom and Telecom-Fiber Overbuild", "peak_capex_pct_gdp": 1.2, "distance": 0.687 }, "sentiment_outliers": [ { "cycle_id": "radio-1929", "name": "1920s Radio Boom and 1929 Crash", "peak_to_trough_drawdown_pct": 98 } ], "not_yet_measurable": [ "overbuild_ratio", "peak_to_trough_drawdown_pct", "boom_to_bust_years", "survival_rate_pct" ], "captured_at": "2026-06-07T00:00:00Z", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-07T00:00:00Z", "metadata": { "name": "AI Capex Cycle Verdict", "description": "AI Capex Cycle Verdict. One paid call ranks the current AI infrastructure buildout against six historical technology capital buildouts (UK and US railways, electrification, the Bell telephone network, the dotcom telecom-fiber overbuild) on the single cross-era-comparable axis: peak annual capex as a share of GDP. Returns a MODERATE / ELEVATED / EXTREME / UNPRECEDENTED band, the current rank, the closest and farthest historical analog, the equities-led cycles flagged separately as sentiment outliers, the post-bust dimensions that cannot be scored while a cycle is in progress, and an AFTA-signed receipt. It deliberately does not call bubble or not-a-bubble. No params. The \"how does the AI buildout compare to past capital manias\" call.", "tier": 1, "credits": 1, "category": "ai-capex-cycle-verdict" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET" }, "output": { "type": "json", "example": { "ok": true, "verdict_kind": "capex_cycle_analog", "verdict": "ELEVATED", "ranked_dimension": "peak_capex_pct_gdp", "current_cycle": { "id": "ai-buildout", "name": "AI infrastructure buildout", "peak_capex_pct_gdp": 1.887, "annual_capex_usd_b": 600, "in_progress": true }, "current_rank": 3, "total_ranked": 6, "exceeds_all_priors": false, "ranking": [ { "id": "uk-railway-mania", "name": "UK Railway Mania", "peak_capex_pct_gdp": 7, "is_current": false }, { "id": "us-railroad-1873", "name": "US Railroad Boom and Panic of 1873", "peak_capex_pct_gdp": 4.8, "is_current": false }, { "id": "ai-buildout", "name": "AI infrastructure buildout", "peak_capex_pct_gdp": 1.887, "is_current": true }, { "id": "dotcom-fiber", "name": "Dotcom and Telecom-Fiber Overbuild", "peak_capex_pct_gdp": 1.2, "is_current": false } ], "closest_analog": { "cycle_id": "dotcom-fiber", "name": "Dotcom and Telecom-Fiber Overbuild", "peak_capex_pct_gdp": 1.2, "distance": 0.687 }, "sentiment_outliers": [ { "cycle_id": "radio-1929", "name": "1920s Radio Boom and 1929 Crash", "peak_to_trough_drawdown_pct": 98 } ], "not_yet_measurable": [ "overbuild_ratio", "peak_to_trough_drawdown_pct", "boom_to_bust_years", "survival_rate_pct" ], "captured_at": "2026-06-07T00:00:00Z", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object" } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/eu-ai-act/notified-bodies/history", "description": "EU AI Act notified-body designation history. The European Commission lists which bodies may certify high-risk AI (NANDO / SMCS) but publishes no change history; TensorFeed diffs the register daily and keeps the designation time series: every first designation, status change (Active, Suspended, Withdrawn), scope change, and delisting under the AI Act, the Cyber Resilience Act, and EUCC, timestamped on the day observed. Optional ?from=&to=&legislation_id=&type= filters. Free taste at /api/eu-ai-act/notified-bodies. No-charge while the log is empty (the AI Act is pre-first-designation today) or when the filtered window has no events. AFTA-signed receipt.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "2026-06-01", "to": "2026-12-31", "legislation_id": 168380, "type": "designation_first_seen" } }, "output": { "type": "json", "example": { "ok": true, "captured_at": "2026-06-10T19:33:09.000Z", "baseline_established_at": "2026-06-09T19:33:09.000Z", "total": 1, "events": [ { "type": "designation_first_seen", "observed_at": "2026-06-10T19:33:09.000Z", "legislation_id": 168380, "legislation": "Regulation (EU) 2024/1689 on artificial intelligence (Artificial Intelligence Act)", "notification_id": 1031234, "body": "Example Conformity Assessment GmbH", "body_display": "NB 1234", "country": "Germany", "detail": "first designation observed: NB 1234 under Regulation (EU) 2024/1689" } ], "source": "European Commission, NANDO / Single Market Compliance Space, CC BY 4.0", "license": "CC BY 4.0 (European Commission reuse policy, Decision 2011/833/EU)", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-09T00:00:00Z", "metadata": { "name": "EU AI Act designation history", "description": "EU AI Act notified-body designation history. The European Commission lists which bodies may certify high-risk AI (NANDO / SMCS) but publishes no change history; TensorFeed diffs the register daily and keeps the designation time series: every first designation, status change (Active, Suspended, Withdrawn), scope change, and delisting under the AI Act, the Cyber Resilience Act, and EUCC, timestamped on the day observed. Optional ?from=&to=&legislation_id=&type= filters. Free taste at /api/eu-ai-act/notified-bodies. No-charge while the log is empty (the AI Act is pre-first-designation today) or when the filtered window has no events. AFTA-signed receipt.", "tier": 1, "credits": 1, "category": "eu-ai-act-notified-bodies" }, "extensions": { "bazaar": { "info": { "input": { "type": "http", "method": "GET", "queryParams": { "from": "2026-06-01", "to": "2026-12-31", "legislation_id": 168380, "type": "designation_first_seen" } }, "output": { "type": "json", "example": { "ok": true, "captured_at": "2026-06-10T19:33:09.000Z", "baseline_established_at": "2026-06-09T19:33:09.000Z", "total": 1, "events": [ { "type": "designation_first_seen", "observed_at": "2026-06-10T19:33:09.000Z", "legislation_id": 168380, "legislation": "Regulation (EU) 2024/1689 on artificial intelligence (Artificial Intelligence Act)", "notification_id": 1031234, "body": "Example Conformity Assessment GmbH", "body_display": "NB 1234", "country": "Germany", "detail": "first designation observed: NB 1234 under Regulation (EU) 2024/1689" } ], "source": "European Commission, NANDO / Single Market Compliance Space, CC BY 4.0", "license": "CC BY 4.0 (European Commission reuse policy, Decision 2011/833/EU)", "billing": { "credits_charged": 1, "credits_remaining": 49 } } } }, "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "input": { "type": "object", "properties": { "type": { "type": "string", "const": "http" }, "method": { "type": "string", "enum": [ "GET" ] }, "queryParams": { "type": "object", "properties": { "from": { "type": "string", "description": "Inclusive start day, YYYY-MM-DD, on the observed_at date." }, "to": { "type": "string", "description": "Inclusive end day, YYYY-MM-DD." }, "legislation_id": { "type": "number", "description": "NANDO legislation id: 168380 AI Act, 167953 Cyber Resilience Act, 164702 EUCC." }, "type": { "type": "string", "description": "Event type: designation_first_seen, status_change, scope_change, or delisted." } } } }, "required": [ "type", "method" ], "additionalProperties": false }, "output": { "type": "object", "properties": { "type": { "type": "string" }, "example": { "type": "object" } }, "required": [ "type" ] } }, "required": [ "input" ] } } } }, { "resource": { "url": "https://tensorfeed.ai/api/premium/model-intelligence", "description": "Full per-model TensorFeed Intelligence Index (TFII) breakdown over the latest daily snapshot: the headline composite score, per-task subscores (code, reasoning, knowledge, instruction following), and the trust block that flags benchmark saturation and contamination. One paid call scores every tracked model; pass model to narrow to one. The free sibling returns the ranked list without the subscore and trust detail.", "mimeType": "application/json" }, "type": "http", "method": "GET", "x402Version": 2, "accepts": [ { "scheme": "exact", "network": "eip155:8453", "amount": "20000", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1", "maxTimeoutSeconds": 60, "extra": { "name": "USD Coin", "version": "2" }, "outputSchema": { "input": { "type": "http", "method": "GET", "queryParams": { "model": "claude-opus-4-7" } }, "output": { "type": "json", "example": { "ok": true, "as_of": "2026-06-12T07:00:00Z", "methodology_version": "1.0", "methodology_url": "https://tensorfeed.ai/intelligence", "count": 18, "models": [ { "model_id": "claude-opus-4-7", "name": "Claude Opus 4.7", "provider": "anthropic", "tfii": 87.4, "rank": 1, "subscores": { "code": 91.2, "reasoning": 88, "knowledge": 84.6, "instruction_following": 89.1 }, "trust": { "saturation_flag": false, "contamination_flag": false, "sample_size": 14 } } ], "billing": { "credits_charged": 1, "credits_remaining": 49 } } } } } ], "lastUpdated": "2026-06-13T00:00:00Z", "metadata": { "name": "Model intelligence index (TFII)", "description": "Full per-model TensorFeed Intelligence Index (TFII) breakdown over the latest daily snapshot: the headline composite score, per-task subscores (code, reasoning, knowledge, instruction following), and the trust block that flags benchmark saturation and contamination. One paid call scores every tracked model; pass model to narrow to one. 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