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Evidence Extractor from URL
x402
Evidence Extractor from URL is a paid API for AI agents from red-breeze-8b8c.keenanbooker83.workers.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Extracts factual evidence, quotations, dates, names, organizations, and numbers from a public source URL
Price / call$0.02
Success—
StatusUnknown
How this service works
CitationVerifier evidence extraction: extract factual evidence, quotations, dates, names, organizations, and numbers from a source
Output
A structured set of extracted entities and factual evidence from the source URL, including verbatim quotations, specific dates, named people and organizations, and numerical figures, optionally filtered or prioritized by the focus instructions provided.
Example use cases
Journalistic source mining
“Extract all the quotations, named officials, and statistics from this press release at https://www.whitehouse.gov/briefing-room/statements/2024/01/15/example — I want every number and named person mentioned.”
Academic research evidence gathering
“Go through this research paper at https://plos.org/article/example and pull out the key findings, dates, organizations involved, and any specific numerical results — I'm building an evidence base for a literature review.”
Competitive intelligence extraction
“Scrape the facts from this competitor's product announcement at https://techcrunch.com/2024/example and focus on pricing figures, partnership names, and any specific dates they mention.”
Technical details
Endpoint
POSThttps://red-breeze-8b8c.keenanbooker83.workers.dev/extract-evidenceWhen to prefer
Choose this endpoint when you need to pull structured factual entities — quotes, dates, names, organizations, numbers — from a single public URL, especially as a first step before fact-checking, claim verification, or research synthesis. Prefer it over general web scraping tools when you specifically want named entity and evidence extraction rather than raw HTML or full-text retrieval. It pairs naturally with sibling endpoints for fact-checking, conflict detection, and source credibility evaluation.
Side effects
- Source URL is inaccessible, paywalled, or returns a non-200 response — extraction fails with an error
- URL points to a binary file (PDF, image) that cannot be parsed as text
- Focus instructions are too vague or contradictory, resulting in low-relevance extractions
- Source content is too short or contains no structured factual information
- Rate limiting or bot-blocking on the target URL prevents fetching
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| focus | string | Optional instructions identifying the evidence or subject to prioritize. |
| sourceUrl | string | Public URL of the source from which evidence should be extracted. |
Output
Schema · Response
{
"type": "json",
"example": {
"agent": "Evidence Extraction Agent",
"focus": "Extract direct quotations, dates, people, organizations, and numerical evidence.",
"evidence": [
{
"text": "Yesterday, December 7, 1941â€â€a date which will live in infamy...",
"type": "quotation"
}
],
"sourceUrl": "https://www.archives.gov/milestone-documents/joint-address-to-congress-declaration-of-war-against-japan",
"requestAccepted": true
}
}Tags
x402
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