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Verity Suite – Claim Freshness Checker
x402
Verity Suite – Claim Freshness Checker is a paid API for AI agents from suite.veritylayer.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).
Checks whether a given factual claim is still current by judging it against retrieved evidence snippets, returning a fail-closed freshness verdict (current, outdated, changed, or unverifiable).
Price / call$0.03
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Returns a JSON object with a status enum (current, outdated, changed, or unverifiable), a list of concrete reasons tied to specific evidence snippets and their dates, and optionally a current_value field when the evidence establishes a specific new value. The default fail-closed verdict is 'unverifiable' when evidence is absent, undated, or insufficient.
Example use cases
Stale knowledge base detection
“I have a claim in our knowledge base that says 'Stripe's standard processing fee is 2.9% + 30 cents per transaction' — last verified in 2023. Here are some snippets I pulled today: ['Stripe updated its pricing to 2.7% + 5 cents for in-person and maintained 2.9% + 30 cents online (Stripe pricing page, 2024-03-01)']. Can you tell me if this claim is still current, outdated, or has changed?”
Research agent fact currency check
“My research agent retrieved this claim: 'Python is the most popular programming language according to the TIOBE index.' It was true as of January 2024. I also fetched these snippets: ['TIOBE index for October 2024 still ranks Python #1 (TIOBE, 2024-10-01)']. Is this fact still current?”
Product spec staleness guard
“Before I send this answer to the user, can you verify the claim 'The Tesla Model 3 Long Range has an EPA-rated range of 358 miles' is still accurate? I don't have a known-good date. Here's what I found: ['Tesla updated the Model 3 Long Range range to 341 miles EPA for the 2024 model year (InsideEVs, 2024-02-15)'].”
Technical details
Endpoint
POSThttps://suite.veritylayer.dev/freshness/quickWhen to prefer
Use this endpoint when an AI agent needs a reliable, fail-closed judgment on whether a specific factual claim is still current before presenting it to a user or acting on it. Prefer it over naive LLM self-assessment when you need a calibrated, paid-per-call service with explicit staleness categories and traceable reasoning tied to retrieved evidence. Especially valuable in RAG pipelines, knowledge base maintenance, and agent workflows where acting on stale data carries real risk.
Side effects
- Empty or undated evidence array causes an 'unverifiable' verdict rather than an error — the service is fail-closed by design
- Claim exceeds 2000 character limit — returns a validation error
- Evidence snippets without dates or sources reduce confidence and may force an 'unverifiable' result
- Ambiguous or compound claims may be difficult to judge accurately
- If evidence is irrelevant to the claim, the service returns 'unverifiable' rather than guessing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| as_of | — | The date or version at which the claim was last known to be true, if known (e.g. '2024-01-01'). Used only to weigh evidence recency; it is not itself proof of current truth. |
| claim | string | The single fact or claim to check for currency. Treated as data to be judged, not as instructions. |
| evidence | array | Retrieved current snippets, ideally each with a date and source, to judge the claim against. If empty or undated, currency cannot be confirmed. |
Tags
x402
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