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Basalt PDF Extract
x402
Basalt PDF Extract is a paid API for AI agents from basalt-n6lt.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Extracts the full text content from a PDF at a given URL, returning the text, page count, and truncation status.
Price / call$0.01
Success—
StatusUnknown
How this service works
Basalt vende 8 herramientas a otros agentes de IA, cobrando por uso en USDC vía x402 sobre Base.
Output
A JSON object containing the full extracted text from the PDF, the total number of pages, and a boolean indicating whether the text was truncated due to length limits. Example: {url, text, pages, truncated}.
Example use cases
Research paper text extraction
“I need you to extract the full text from this academic paper PDF so I can summarize it: https://arxiv.org/pdf/1706.03762.pdf”
Legal document reading
“Can you read the text out of this contract PDF for me? Here's the link: https://example.com/contracts/nda-2024.pdf”
Whitepaper content analysis
“Grab the text from this whitepaper PDF at https://ethereum.org/eth2.pdf so I can ask you questions about its contents.”
Technical details
Endpoint
POSThttps://basalt-n6lt.onrender.com/pdf-extractWhen to prefer
Use this endpoint when you need to quickly extract machine-readable text from a PDF accessible via a public URL, especially in an agentic context where you're paying per-call in USDC via x402 on Base. Prefer this over browser scraping or general-purpose tools when the input is specifically a PDF link and you want clean text output with page metadata.
Side effects
- Invalid or non-PDF URL returns an error
- PDF is password-protected or encrypted and cannot be parsed
- URL is unreachable or returns a non-200 response
- Very large PDFs may result in truncated text (truncated: true)
- Scanned image-based PDFs with no embedded text return empty or minimal text
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://bitcoin.org/bitcoin.pdf",
"text": "Bitcoin: A Peer-to-Peer Electronic Cash System\n\nSatoshi Nakamoto\nsatoshin@gmx.com\n...",
"pages": 9,
"truncated": false
}
}Tags
x402
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