01
Incidents
Aggregate rows describe observed synthetic-media impersonation incidents by sector and time window.
Chris Royse / leapable.ai
Risk Feed - aggregate AI-output receipt data
Review rows from artifact receipts.
Rows can describe registry coverage, incident observations, centroid matches, and Standard-version changes.
02
Receipts
The feed reports what share of artifacts in a cohort are registry-attested.
03
Matches
Verify lookups show how often registered centroids return Suspect status. Decisions remain with the subscriber.
Sample data
| Week | Panel | Sample value | Methodology |
|---|---|---|---|
| 2026-W17 | Synthetic-media impersonation | 12 | v0.1 |
| 2026-W17 | Attestation density | 42% | v0.1 |
| 2026-W17 | Centroid-match velocity | 7 | v0.1 |
Have one context problem?
Send the audience, data type, target task, proof bar, and sharing limits. The first pass should stay bounded.