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Doc Tools: PDF Text Extractor
x402
Doc Tools: PDF Text Extractor is a paid API for AI agents from agentpay.agentpay-apis.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Fetches a PDF from a given URL and returns extracted per-page text content (supports PDFs up to 20MB).
Price / call$0.01
Success—
StatusUnknown
How this service works
Web extraction, domain lookups and document tools for AI agents. Pay per call in USDC via x402 on Base or Algorand.
Output
A structured response containing extracted text organized per page from the PDF, allowing the agent to read and process the document's textual content programmatically.
Example use cases
Extract contract terms from PDF
“I have a PDF contract at https://legal.example.com/contract.pdf — can you pull out all the text so I can review the terms?”
Research paper text extraction
“Extract the full text from this academic paper PDF at https://arxiv.org/pdf/2301.00001.pdf so I can analyze its content.”
Invoice data retrieval from PDF
“Pull the text out of the invoice PDF at https://billing.myvendor.com/invoices/INV-4521.pdf so I can find the line items and total amount.”
Technical details
Endpoint
GEThttps://agentpay.agentpay-apis.workers.dev/tools/v1/pdf-text?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically extract text from a remotely hosted PDF file, especially when you need per-page granularity. Ideal for document analysis pipelines, contract review, research paper processing, or any workflow where a PDF's text content needs to be read and processed by an AI agent. Prefer this over general web scraping endpoints when the source is specifically a PDF document.
Side effects
- PDF URL is inaccessible or returns a non-200 status — fetch fails
- PDF exceeds 20MB size limit — request is rejected
- URL does not point to a valid PDF — parsing error
- Password-protected or encrypted PDFs cannot be extracted
- Scanned image-only PDFs yield empty or minimal text (no embedded text layer)
- Network timeout fetching the remote PDF
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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