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Tanod pdfpeek PDF Outline Extractor
x402
Tanod pdfpeek PDF Outline Extractor is a paid API for AI agents from tanod.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-10).
Extracts the table of contents / bookmark outline from a PDF document supplied via URL or base64
Price / call$0.005
Success—
StatusUnknown
How this service works
One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.
Output
Returns a JSON object containing the outline array (each item has a title and page number), the outline depth, total item count, whether the PDF has an outline, total input bytes, total input pages, and a truncated flag if the outline was cut off due to size. Also flags untrusted_content for security awareness.
Example use cases
Research report chapter navigation
“Here's a PDF link to a 200-page research report: https://example.com/annual-report.pdf — can you extract the outline so I can see what chapters are in it and which pages they start on?”
Automated document indexing pipeline
“I'm processing a bunch of PDFs and need to know which ones have a table of contents. Can you fetch the outline from this PDF at https://docs.example.com/manual.pdf and tell me if it has one and how deep the hierarchy goes?”
Verify PDF structure before summarizing
“Before I ask you to summarize this contract PDF, can you first extract its outline so I can confirm it has the sections I expect? Here's the file as base64: [base64string].”
Technical details
Endpoint
POSThttps://tanod.dev/v1/pdf/outline?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically inspect the structural outline or table of contents of a PDF without reading its full text — ideal for document classification, navigation, pre-processing pipelines, or verifying document structure before deeper analysis. Prefer it over full-text extraction when only chapter/section metadata and page numbers are needed.
Side effects
- PDF URL is not publicly accessible or returns non-200 (refused)
- PDF exceeds 20 MB via URL or 10 MB via base64 (rejected)
- Private, internal, or IP-literal host URLs are refused
- PDF has no embedded outline (has_outline returns false, empty items array)
- Malformed or non-PDF file content causes parse error
- Neither url nor pdf_base64 provided (validation error)
- Both url and pdf_base64 provided simultaneously (ambiguous input)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | — | Public http(s) URL of the PDF (at most 20 MB; private, internal and IP-literal hosts are refused); or use pdf_base64. |
| pdf_base64 | — | The PDF as base64 (at most 10 MB decoded per request); or use url. |
Output
Schema · Response
{
"type": "json",
"example": {
"depth": 1,
"items": 1,
"outline": [
{
"page": 1,
"title": "Dummy PDF file"
}
],
"operation": "outline",
"truncated": false,
"has_outline": true,
"input_bytes": 13264,
"input_pages": 1,
"untrusted_content": true
}
}Tags
x402
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