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Mart402 PDF Info
x402
Mart402 PDF Info is a paid API for AI agents from mart402.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-01).
Returns page count, metadata, per-page text volume, and scanned-vs-digital estimate for a PDF before committing to full parsing
Price / call$0.001
Success—
StatusUnknown
How this service works
PDF facts before you pay for parsing: page count, metadata, per-page text volume, scanned-or-not estimate. 0.001/call.
Output
Returns structured data including total page count, embedded PDF metadata (title, author, creation date, etc.), per-page text volume estimates, and a classification of whether the PDF contains selectable digital text or is a scanned image document.
Example use cases
Pre-screen PDF before OCR pipeline
“I have a PDF at https://contracts.example.com/agreement.pdf — before I run OCR on it, can you tell me if it's scanned or has selectable text, how many pages it has, and roughly how much text is on each page?”
Filter low-content PDFs in bulk workflow
“I'm processing a bunch of PDFs and need to skip the ones that are mostly blank or scanned images. Can you check this one at https://filings.example.com/doc123.pdf and tell me its page count and per-page text volume so I can decide whether to proceed?”
Verify PDF metadata before archiving
“Can you pull the metadata from this PDF — https://archive.example.com/report2023.pdf — like its title, author, creation date, and page count, so I can catalog it properly before storing it?”
Technical details
Endpoint
POSThttps://mart402.com/v1/pdf-info?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to cheaply inspect a PDF's properties before committing to more expensive parsing, OCR, or extraction operations. Ideal for pre-screening pipelines where you want to filter out scanned, empty, or overly large documents, or when you simply need page count and metadata without full text extraction. At $0.001/call it is far cheaper than running a full parse just to discover basic structure.
Side effects
- URL is unreachable or returns a non-200 response — endpoint cannot fetch the file
- URL points to a non-PDF file — parsing fails with format error
- PDF is password-protected — metadata and text extraction blocked
- Very large PDF may time out before analysis completes
- Corrupted or malformed PDF structure causes parsing failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string |
Tags
x402
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