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Verity Suite — Faithful (Faithfulness Checker)
x402
Verity Suite — Faithful (Faithfulness Checker) is a paid API for AI agents from suite.veritylayer.dev, paid per call via x402, $0.06/call, status unknown (last checked 2026-09-14).
Checks whether a candidate summary or translation is faithful to its source text, returning a verdict, faithfulness score, and claim-level reasons.
Price / call$0.06
Success—
StatusUnknown
How this service works
The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.
Output
Returns a JSON object with: a verdict enum (faithful, minor_drift, unfaithful, or uncertain), a faithfulness score, an array of concrete claim-level reasons citing specific source-vs-candidate discrepancies or confirmations, and an optional Ed25519-signed VerityLayer receipt for auditability.
Example use cases
Hallucination guard for news summarizer
“Before we publish this AI-generated news brief, check whether it's faithful to the original article. Source: 'The company reported a 12% revenue increase but warned of rising costs in Q3.' Candidate: 'The company saw revenue rise 12% with no concerns about future quarters.' Use summary mode.”
Translation accuracy audit
“I need to verify that this Spanish translation faithfully reflects the English original. Source: 'All users must reset their passwords within 48 hours for security compliance.' Candidate (Spanish): 'Los usuarios pueden cambiar sus contraseñas cuando quieran.' Check it in translation mode.”
RAG answer grounding check
“My RAG pipeline produced an answer — can you verify it's actually grounded in the retrieved context? Source is the retrieved passage: 'Solar panel efficiency peaks between 10am and 2pm on clear days.' Candidate answer: 'Solar panels work best in the early morning when temperatures are lowest.' No specific mode — apply the strictest check.”
Technical details
Endpoint
POSThttps://suite.veritylayer.dev/faithfulWhen to prefer
Choose this endpoint when you need a calibrated, claim-level faithfulness verdict with an auditable signed receipt — especially in agent pipelines where hallucination or distortion in summaries or translations must be caught before downstream use. Prefer it over generic LLM self-checks when you need a deterministic, pay-per-call, fail-closed verification layer with structured output and no risk of the model rationalizing its own errors.
Side effects
- Source or candidate text missing — 422 validation error
- Text exceeds 2000-character limit — validation error
- Invalid mode value (not 'summary' or 'translation') — validation error
- Uncertain verdict returned when claims cannot be definitively verified against source
- Payment not received or insufficient — 402 Payment Required
- Service temporarily unavailable — 5xx error
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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