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X402 PDF Document Extraction
x402
X402 PDF Document Extraction is a paid API for AI agents from x402.feld-feder.at, paid per call via x402, $0.015/call, status down (last checked 2026-09-15).
Fetches a PDF from a URL and extracts its text content, returning plain text or structured output using pypdf or OCR-based layout analysis.
Price / call$0.015
Success—
StatusDown
How this service works
Pay-per-request data tools for AI agents.
Output
A JSON object with an 'ok' flag and a 'data' object containing: the extracted 'text' (plain string or null), 'markdown' (formatted or null), 'format' (always 'pdf'), 'processor' (either 'pypdf' for machine-readable PDFs or 'docling' for OCR/layout), 'page_count' (integer), and 'processing_time_ms'. May also include cache hit info and source URL metadata.
Example use cases
Research paper text extraction
“Extract the full text from this academic PDF so I can summarize it: https://arxiv.org/pdf/2301.00001.pdf — use auto mode.”
Scanned invoice OCR processing
“This PDF invoice at https://files.mycompany.com/invoice-2024-05.pdf is probably scanned, so use structured mode to extract the text from it so I can parse out the line items.”
Legal contract content retrieval
“Pull the text out of this contract PDF at https://legal.example.com/contract.pdf and give me the full contents so I can review the terms.”
Technical details
Endpoint
POSThttps://x402.feld-feder.at/v1/document/pdfWhen to prefer
Choose this endpoint when you need to extract text from a PDF document available at a public URL, especially when you want automatic fallback between fast pypdf extraction and full OCR/layout analysis. It is pay-per-request ($0.015 USDC) via x402, making it suitable for agents that process PDFs on demand without subscription overhead. Prefer it over generic scraping tools when the source is specifically a PDF file rather than an HTML page.
Side effects
- URL unreachable or returns non-PDF content — likely returns an error envelope with no text
- PDF is password-protected or encrypted — extraction may fail or return empty text
- Very large PDFs may time out or incur higher latency
- Scanned PDFs in auto mode may return empty text if pypdf is selected instead of docling
- Malformed URL input (too long, empty) — schema validation error
- Payment failure via x402 protocol — request blocked before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"data": {
"text": "Example",
"format": "pdf",
"markdown": null,
"processor": "pypdf",
"page_count": 1,
"processing_time_ms": 1
}
}
}Tags
x402
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