FETCH402
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Resource / 12918

unknown

Unnamed resource.

Extract structured text, tables, and metadata from any PDF URL. Returns page-by-page text content, detected tables as JSON arrays, and document metadata (title, author, page count). No PDF library or OCR setup needed — pay per extraction. AI agent API for document intelligence and data extraction

Eligibility
probeable
Failures
0
Last quote
Last probe
Payment requirements / accepts[] 2 options
State Network Scheme Atomic amount Asset payTo / untrusted
active eip155:8453 exact 20000 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913 0x29322Ea7EcB34aA6164cb2ddeB9CE650902E4f60
active solana:5eykt4usfv8p8njdtrepy1vzqkqzkvdp exact 20000 EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v 4du4AfkjJEwch2zk3shkPJVZfyJHNDnNjEWC6AboaS5Z

All advertised payment options are stored. Base (`eip155:8453`) is the operational network for ranking and canaries; non-Base options remain visible for transparency.

Probe evidence 0 recent

No probe attempts recorded yet. Coverage runs prioritize never-probed endpoints.

Machine contract

Schemas.

InputJSON
{
  "method": "GET",
  "queryParams": {
    "max_pages": "50",
    "url": "https://example.com/report.pdf"
  },
  "type": "http"
}
OutputJSON
{
  "example": {
    "metadata": {
      "file_size_bytes": 284672,
      "page_count": 12,
      "title": "Q1 2026 Financial Report"
    },
    "summary_stats": {
      "has_text": true,
      "total_characters": 18420,
      "total_tables": 3
    }
  },
  "type": "json"
}