TensorFeed AI Safety Incident Exposure Analytics is a paid API for AI agents from tensorfeed.ai, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Returns recency-weighted AI safety incident exposure scores and distributions per developer and deployer, derived from the AVID incident database refreshed daily.
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.
Returns per-developer and per-deployer AI safety incident counts with a recency-weighted exposure_score (1.0 for last 30 days, 0.5 for days 31-90, 0.25 for older), risk_domain distributions, SEP-view (Security/Ethics/Performance) breakdowns, and top affected artifacts. Data is derived from the daily AVID snapshot.
GEThttps://tensorfeed.ai/api/premium/ai-safety/incidents/exposureUse this endpoint when you need recency-weighted AI safety incident exposure analytics specifically derived from the AVID incident database, with SEP-view (Security/Ethics/Performance) breakdowns and per-developer/deployer granularity. Prefer this over general web searches when you need structured, scored, and ranked incident data rather than raw news or unstructured reports.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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