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Statistical Claim Verification Against Source
x402
Statistical Claim Verification Against Source is a paid API for AI agents from red-breeze-8b8c.keenanbooker83.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Evaluates whether a numerical or statistical claim is supported and properly framed by its cited source URL
Price / call$0.05
Success—
StatusUnknown
How this service works
Evaluate whether a statistical claim is supported and properly framed by its cited source
Output
A structured evaluation indicating whether the cited source supports the given statistical claim, whether the numerical framing is accurate, whether context or caveats from the source are missing, and an overall verdict on whether the claim is legitimately backed by the cited evidence.
Example use cases
Journalism fact-check before publication
“Before we publish, can you verify that the claim '1 in 5 children in the US lives in poverty' is actually supported and properly contextualized by the source at https://www.census.gov/library/publications/2023/demo/p60-280.html?”
Research paper citation audit
“I'm reviewing a paper that says 'screen time is associated with a 40% increase in depression risk in teens' and cites this URL: https://jamanetwork.com/journals/jamapediatrics/article-abstract/2737218 — can you check whether that statistic and framing are actually backed by the source?”
Policy debate statistical accuracy check
“Someone in our debate cited 'gun violence costs the US $229 billion annually' and pointed to this article: https://everystat.org/economic-impact-of-gun-violence/ — can you evaluate whether the number and framing are properly supported by that source?”
Technical details
Endpoint
POSThttps://red-breeze-8b8c.keenanbooker83.workers.dev/check-statisticsWhen to prefer
Choose this endpoint specifically when you need to verify a numerical or statistical claim against a specific cited source — not just whether a claim is factually true in general, but whether the cited URL actually supports it with correct framing. Prefer this over generic fact-checking endpoints when the statistical accuracy, context, and sourcing integrity of a data point are all in scope simultaneously.
Side effects
- Source URL is behind a paywall or requires login — endpoint cannot access the content
- Source URL returns a 404 or is otherwise unavailable
- The claim is too vague or contains no specific numerical component to verify
- The source URL does not contain content directly related to the claim
- Rate limiting or network errors when fetching the source
- Claim exceeds 4000 character limit or source URL exceeds 2048 character limit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| claim | string | Numerical or statistical claim to evaluate. |
| sourceUrl | string | Public source URL containing the relevant numerical evidence. |
Output
Schema · Response
{
"type": "json",
"example": {
"agent": "Statistical Claim Checking Agent",
"verdict": "supported",
"confidence": 0.99,
"explanation": "The official source reports an 82-0 Senate vote.",
"requestAccepted": true,
"extractedNumbers": [
"82 votes in favor",
"0 votes against"
]
}
}Tags
x402
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