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Tanod pdfpeek PDF Metadata
x402
Tanod pdfpeek PDF Metadata is a paid API for AI agents from tanod.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-11).
Reads, sets, or strips document metadata (author, subject, keywords, producer, creator) from a PDF file.
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 the PDF's document metadata fields (author, creator, subject, keywords, producer) after any read/write/strip operations. If metadata was modified or stripped, the response reflects the updated state of the PDF's Info and XMP metadata.
Example use cases
Audit embedded PDF metadata
“Fetch this PDF from https://example.com/contract.pdf and tell me all the document metadata that's embedded in it — author, creator, producer, subject, keywords, anything you find.”
Scrub metadata before sharing
“I need to strip all the metadata out of this PDF before I share it publicly — here it is as a base64 string: [base64data]. Remove everything including XMP and page-level metadata.”
Tag PDFs with standard metadata
“Set the author to 'Acme Corp', the subject to 'Q3 Financial Report', and the keywords to 'quarterly, finance, 2024' on this PDF at https://files.acme.com/q3-report.pdf.”
Technical details
Endpoint
POSThttps://tanod.dev/v1/pdf/metadata?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically read, update, or purge document metadata from a PDF — especially when you need to set author/creator/keywords fields for publishing workflows, audit what metadata a PDF contains before sharing, or sanitize PDFs by stripping all embedded Info and XMP metadata prior to distribution.
Side effects
- PDF URL is inaccessible or returns non-PDF content
- PDF exceeds 20 MB (URL) or 10 MB decoded (base64)
- Malformed base64 input causes decode failure
- PDF is password-protected or encrypted, preventing metadata access
- URL scheme is not http/https
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| set | — | Fields to write ("" deletes one); omit to only read. |
| url | — | Public http(s) URL of the PDF (at most 20 MB; private, internal and IP-literal hosts are refused); or use pdf_base64. |
| strip | boolean | Remove ALL document metadata (Info, XMP, page-level) first. |
| output | string | base64 (default): the file comes back inline as base64. url: the file is stored for 24 hours and the reply carries a download link (url, expires_at, bytes, content_type, sha256) instead of the base64, which keeps the file out of your context window. |
| pdf_base64 | — | The PDF as base64 (at most 10 MB decoded per request); or use url. |
Output
Schema · Response
{
"type": "json",
"example": {
"changed": false,
"metadata": {
"title": "Form W-9 (Rev. March 2024)",
"author": "SE:W:CAR:MP",
"created": "2024-03-06T08:18:13-05:00",
"creator": "Designer 6.5",
"has_xmp": true,
"subject": "Request for Taxpayer Identification Number and Certification",
"keywords": "Fillable",
"modified": "2024-03-06T08:18:13-05:00",
"producer": "Designer 6.5"
},
"operation": "metadata",
"input_bytes": 140815,
"input_pages": 6,
"pdf_version": "1.7",
"untrusted_content": true
}
}Tags
x402
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