detect_drift
shallowai.dynamicfeed/dynamic-feed · Verify this server
DRIFT DETECTION — audit a batch of AI-stated facts against live ground-truth in one call. Pass `claims` (a list of statements an LLM produced) or `text` (a paragraph that's split into claims); each is fact-checked and graded — drifted / confirmed / unverifiable, with a severity — plus a summary (drifted_count, overall). Use it to self-audit an answer before sending it. Args: claims: list of statements to check. text: alternatively, a paragraph that gets split into claims. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.
1 trials · measured 8 days ago
detect_drift scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.dynamicfeed/dynamic-feed, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Category
- Content & media
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/08c8954f-29dc-4f2a-b1e5-4ed3bdcc97c8)