pdf_to_text $0.005 per call

Download a PDF from a URL and return its full text, page count and title.

For AI agents: call pdf_to_text
POST https://toll402.dev/v1/pdf
{
 "url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
}
Answers 402 with x402 payment requirements; pay with any x402 client (@x402/fetch, x402 for Python, toll402-client, toll402-mcp) or send a prepaid-credits key as x-toll402-key (https://toll402.dev/credits). Paid per call via x402 (USDC on Base) or with a prepaid-credits key (x-toll402-key, card at /credits); charged only on success. Start at /llms.txt or connect the MCP server: npx -y toll402-mcp · remote https://toll402.dev/mcp.

Input schema

{
 "type": "object",
 "properties": {
  "url": {
   "type": "string",
   "description": "Public URL of a PDF file",
   "format": "uri"
  },
  "maxChars": {
   "type": "integer",
   "minimum": 500,
   "maximum": 1000000,
   "default": 300000
  }
 },
 "required": [
  "url"
 ],
 "additionalProperties": false
}

Example output

{
 "url": "...",
 "pages": 1,
 "text": "Dummy PDF file",
 "wordCount": 3
}

MCP

{"mcpServers":{"toll402":{"command":"npx","args":["-y","toll402-mcp"],"env":{"TOLL402_WALLET_KEY":"0x..."}}}}

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