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VerityLayer Quick Verify
x402
VerityLayer Quick Verify is a paid API for AI agents from api.veritylayer.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Verifies whether an AI-generated claim or citation is factually supported or hallucinated, returning a verdict, evidence sources, reasoning, and confidence score.
Price / call$0.02
Success—
StatusUnknown
How this service works
Fact-check a claim before your agent acts on, repeats, or ships it — verify a claim, is this true, catch hallucinations. Independent, fail-closed verification for AI agents: a verdict with calibrated 0-1 confidence, reasoning, and web-sourced evidence; abstains rather than guess, never fabricates. Every verdict ships a signed, independently re-verifiable receipt — proof of what was asked and answered, free to verify forever. Tier: quick — fast ungrounded pre-filter (Haiku).
Output
A JSON object containing: 'verdict' (e.g. 'supported' or 'refuted'), 'evidence' (array of authoritative source citations backing the verdict), 'reasoning' (human-readable explanation of why the claim is supported or not), and 'confidence' (a 0–1 score indicating how certain the engine is).
Example use cases
Legal brief citation audit
“The AI just drafted a legal memo citing several court cases — can you verify each citation against VerityLayer to make sure none of them are hallucinated before we file anything?”
Research paper fact-check
“My AI assistant wrote a paragraph about climate data with three specific statistics — please fact-check those claims and tell me which ones are supported by real sources and which might be fabricated.”
Customer-facing AI output review
“Before my chatbot sends this response to a customer claiming that our refund policy has a 30-day window, can you verify that claim is accurate and get me the evidence and confidence score?”
Technical details
Endpoint
POSThttps://api.veritylayer.dev/verify/quickWhen to prefer
Choose VerityLayer when you need a lightweight, fast, per-claim hallucination check with a clear supported/refuted verdict and cited evidence — especially when your AI pipeline is generating citations, legal references, or factual assertions that must be trustworthy before reaching end users. It is particularly strong at catching fabricated citations (8/8 on the Mata v. Avianca benchmark) and operates fail-closed, meaning it errs toward flagging rather than passing suspect content.
Side effects
- Claim is too vague or ambiguous to verify — may return low confidence or inconclusive verdict
- Source material unavailable or behind paywalls — evidence array may be sparse
- Extremely niche or newly emerging facts may lack sufficient indexed sources for verification
- Malformed or empty input claim returns validation error
- Network timeout or service unavailability returns HTTP 5xx
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| claim | string | |
| context | string |
Output
Schema · Response
{
"type": "json",
"example": {
"verdict": "supported",
"evidence": [
"Encyclopaedia Britannica — Eiffel Tower, Paris, France."
],
"reasoning": "Multiple authoritative sources place the Eiffel Tower on the Champ de Mars in Paris, France.",
"confidence": 0.97
}
}Tags
x402
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