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Verity Suite Faithfulness Checker
x402
Verity Suite Faithfulness Checker is a paid API for AI agents from verity-suite.onrender.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Checks whether a summary or translation faithfully preserves the source text, returning a calibrated verdict and claim-level reasons.
Price / call$0.02
Success—
StatusUnknown
How this service works
The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.
Output
Returns a verdict enum (faithful, minor_drift, unfaithful, or uncertain), a calibrated faithfulness probability score between 0 and 1, an array of claim-level reasons citing specific source-vs-candidate discrepancies or confirmations, a list of hallucinations (claims in the candidate not supported by the source), and a list of material omissions (claims in the source dropped or weakened in the candidate).
Example use cases
Example prompt
“Check whether this summary is faithful to the original article — here's the source: 'The Federal Reserve raised interest rates by 0.5% citing persistent inflation concerns.' And here's the candidate summary: 'The Federal Reserve cut rates by 0.5% due to inflation.' Flag any hallucinations or distortions.”
Technical details
Endpoint
POSThttps://verity-suite.onrender.com/faithful/quickWhen to prefer
Use this endpoint when you need a calibrated, fail-closed faithfulness verdict on a summary or translation — not just a similarity score. Prefer it over embedding cosine similarity when you need claim-level hallucination and omission detection. Prefer it over general-purpose LLM prompting when you need a structured, reliable verdict with explicit reasons rather than a freeform answer. Best suited for pipelines that need to gate on faithfulness before publishing or acting on AI-generated content.
Side effects
- Empty or unreadable source or candidate text returns verdict 'uncertain' rather than a guess
- Completely misaligned texts (e.g. different languages without mode set) may return 'uncertain'
- Truncated or gibberish input returns 'uncertain' — endpoint fails closed, never guesses faithful
- Missing required fields (source or candidate) returns a 400-level error
- Very long texts may hit token or processing limits causing a timeout or truncation-related 'uncertain'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mode | string | 'summary' or 'translation'. If absent, the checker applies the stricter union of both checks rather than guessing a mode. |
| sourcerequired | string | the original source text; the sole ground truth the candidate is judged against |
| candidaterequired | string | the summary or translation to check against the source |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| reasonsrequired | array | concrete claim-level reasons, each either citing a specific source-vs-candidate discrepancy or confirming specific support; at least one reason required |
| verdictrequired | string | faithful=every candidate claim is supported by the source and no material source claim is dropped or distorted; minor_drift=only small non-material omissions/nuance loss that change no core claim, entity, quantity, date, or stance; unfaithful=at least one hallucination, contradiction, negation flip, wrong/invented entity-number-date, dropped material claim, or distortion; uncertain=cannot reliably compare (empty/unreadable/truncated/gibberish input or texts too misaligned to map). FAIL CLOSED: never faithful or minor_drift when unsure. |
| omissions | array | material claims present in the source but dropped or weakened in the candidate |
| faithfulnessrequired | number | calibrated probability the candidate fully preserves source meaning with no hallucination, contradiction, or material distortion; 1=certainly faithful, 0=certainly unfaithful. A single confirmed defect drives this well below 0.5. |
| hallucinations | array | claims asserted in the candidate that are not supported by the source (added or invented content) |
Tags
x402
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