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TariffMonkee Citation Verifier
x402
TariffMonkee Citation Verifier is a paid API for AI agents from tariffmonkee.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-30).
Verifies whether citations or referenced claims in a body of text are accurate and supported by their cited sources
Price / call$0.2
Success—
StatusUnknown
How this service works
Batch citation check for a whole document, up to 10 citations per call, with the same verdicts and verbatim evidence as /verify-citation. Sources are deduplicated before fetching, so many claims against one paper cost one render. Flat rate: below about 8 citations the single endpoint is cheaper.
Output
A structured report indicating which citations were verified, which claims appear unsupported or misrepresented by their cited sources, and confidence or accuracy signals for each citation checked.
Example use cases
AI-generated report citation audit
“I just had an AI write a research report on renewable energy trends and I'm worried it hallucinated some of the citations. Can you verify whether the sources it listed actually back up the claims in the text?”
Academic paper reference check
“Before I submit this literature review, can you go through the citations and confirm that each source actually says what I'm claiming it says? Here's the draft with all the references included.”
Journalism fact-check for sourced claims
“I'm editing a news article that cites several studies and reports — can you verify that the statistics and quotes attributed to those sources are accurate and not misrepresented?”
Technical details
Endpoint
POSThttps://tariffmonkee.com/paid/verify-citations?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically verify that citations or references in a piece of text actually support the claims attributed to them — especially useful after AI-generated content, before publishing research summaries, or when auditing third-party reports for source integrity. Prefer this over manual fact-checking or general web search when you need a structured, per-citation accuracy verdict returned as data.
Side effects
- Source URLs are paywalled or inaccessible, preventing verification
- Citations lack enough identifying information (no URL, DOI, or full title) to locate the source
- Body content is malformed or missing required fields
- Cited source content has changed since the claim was written
- AI interpretation of source meaning may introduce false positives or negatives
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| citations | array | Array of { claim, url } objects. Maximum 10; more is rejected rather than silently truncated. |
Output
Schema · Response
{
"type": "json",
"example": {
"count": 1,
"notes": "All submitted citations were checked.",
"results": [
{
"url": "https://example.com",
"claim": "Example Domain is reserved for documentation examples.",
"model": "@cf/meta/llama-3.3-70b-instruct-fp8-fast",
"verdict": "supported",
"evidence": "This domain is for use in documentation examples without needing permission.",
"reasoning": "The source text explicitly states that the domain is for use in documentation examples, which directly supports the claim.",
"retracted": false,
"confidence": "high",
"source_truncated": false,
"source_fetched_at": "2026-10-18T08:07:22.925Z"
}
],
"summary": {
"supported": 1
},
"distinct_sources": 1
}
}Tags
x402
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