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Verity Suite – Faithful Quick Check
x402
Verity Suite – Faithful Quick Check is a paid API for AI agents from suite.veritylayer.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Checks whether a candidate summary or translation is faithful to its source text, returning a calibrated verdict, faithfulness score, 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 faithfulness score, and an array of concrete claim-level reasons citing specific source-vs-candidate discrepancies or confirmations. Optionally includes an Ed25519-signed VerityLayer receipt for auditability.
Example use cases
Hallucination guard for AI summarizer
“I have an AI-generated summary of a legal brief and I need to know if it's faithful to the original text before I send it to a client. Original: 'The contract requires delivery within 30 days of signing, with a penalty of $500 per day of delay.' Candidate: 'The contract requires delivery within 60 days with no specified penalty.' Can you check if that summary is faithful?”
Translation accuracy check for localization
“We just translated a product disclaimer from English to Spanish. Can you verify the Spanish translation is faithful to the English source? Source: 'This product is not intended for use by children under 12.' Translation: 'Este producto no está destinado a personas menores de 18 años.' Use translation mode.”
RAG answer faithfulness audit
“My RAG pipeline produced this answer based on a retrieved passage and I want to make sure it didn't hallucinate. The retrieved source is: 'Q3 revenue grew 18% year-over-year driven by cloud subscriptions.' The generated answer is: 'Revenue grew 18% in Q3, primarily from hardware sales.' Is the answer faithful to the source?”
Technical details
Endpoint
POSThttps://suite.veritylayer.dev/faithful/quickWhen to prefer
Choose this endpoint when you need a fast, per-call, pay-as-you-go faithfulness check with calibrated verdicts and verifiable signed receipts — ideal for AI pipelines that generate summaries or translations and need lightweight hallucination detection without standing up a dedicated evaluation model. Prefer it over general LLM self-evaluation when you need a trust anchor with cryptographic receipts and fail-closed behavior.
Side effects
- Source or candidate text exceeds 2000 characters — request rejected with validation error
- Missing required fields (source, candidate) — 400-level error
- Payment not included or insufficient — 402 Payment Required via x402 protocol
- Uncertain verdict returned when the model cannot confidently assess faithfulness
- Signing not configured — receipt field returns null
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mode | — | 'summary' or 'translation'. If absent, the checker applies the stricter union of both checks rather than guessing a mode. |
| source | string | the original source text; the sole ground truth the candidate is judged against |
| candidate | string | the summary or translation to check against the source |
Tags
x402
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