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Verity Suite Freshness Pro
x402
Verity Suite Freshness Pro is a paid API for AI agents from suite.veritylayer.dev, paid per call via x402, $0.35/call, status unknown (last checked 2026-09-14).
Checks whether a specific claim is still current or has become outdated/changed, using provided evidence snippets, and returns a fail-closed verdict with reasons.
Price / call$0.35
Success—
StatusUnknown
How this service works
The trust fabric for AI agents — calibrated, fail-closed services agents pay per call.
Output
Returns a structured verdict with a status enum (current, outdated, changed, or unverifiable), a staleness assessment, and concrete reasons tied to specific evidence snippets and their dates. If a specific new value has been established, it is returned as current_value. The default fail-closed status is 'unverifiable' when evidence is absent, undated, or insufficient.
Example use cases
Stale product pricing check
“Before quoting the user the price of the ChatGPT Plus subscription at $20/month, check if that's still accurate using these snippets I retrieved: 'OpenAI raised ChatGPT Plus to $20/month in Feb 2023 (source: theverge.com, 2023-02-01)' and 'No price change announced as of Q1 2024 (source: openai.com, 2024-01-10)'. The claim was last confirmed true as of 2023-02-01.”
Policy change verification for compliance agent
“My compliance agent is about to advise a client that GDPR fines can reach up to 4% of global annual turnover. Can you verify that claim is still current using these evidence snippets: 'GDPR Article 83 caps fines at 4% of global turnover (source: gdpr-info.eu, 2023-11-01)' and 'No amendments to GDPR fine structure reported in 2024 (source: iapp.org, 2024-02-20)'?”
Executive leadership fact-check before report
“My research agent pulled the claim that 'Sundar Pichai is the CEO of Alphabet' — can you check if that's still true against these snippets: 'Sundar Pichai confirmed as Alphabet CEO (source: alphabet.com/about, 2024-01-15)' and 'No leadership change announced at Alphabet in 2024 (source: reuters.com, 2024-03-01)'? Last known true as of 2024-01-01.”
Technical details
Endpoint
POSThttps://suite.veritylayer.dev/freshness/proWhen to prefer
Choose this endpoint when an AI agent needs a calibrated, fail-closed judgment on whether a specific factual claim is still current before acting on it or presenting it to a user. It is especially valuable when the agent has already retrieved evidence snippets (e.g. via web search) and needs a structured verdict rather than a raw LLM guess. Prefer it over generic LLM self-assessment when you need explicit staleness reasons tied to dated sources, a machine-readable status enum, and a safe default of 'unverifiable' when evidence is insufficient.
Side effects
- Evidence snippets are absent or undated, resulting in 'unverifiable' status rather than a confirmation
- Claim is ambiguous or too broad for the provided evidence to resolve definitively
- Evidence snippets are irrelevant to the claim, triggering fail-closed 'unverifiable' response
- Payment of $0.35 USDC not completed, resulting in 402 Payment Required error
- Malformed request body missing required 'claim' field returns validation error
- Evidence contradicts itself across snippets, making a definitive verdict impossible
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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