Tanod pdfpeek PDF Attachments

x402

Tanod pdfpeek PDF Attachments 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).

List, extract, or add embedded file attachments in a PDF document

Price / call$0.005

Seller volume →—

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

A JSON object containing the action performed, attachment list with name/size/filename/MIME type/description fields, total input byte count, page count of the PDF, whether results were truncated, and a flag indicating untrusted content. For 'extract' action, returns the attachment content as base64. For 'add' action, returns the modified PDF.

Example use cases

Audit embedded files in a PDF

“I have this PDF at https://example.com/contract.pdf — can you check what files are attached inside it and list their names, sizes, and MIME types?”

Extract a named attachment from PDF

“Pull out the attachment called 'budget.xlsx' from this PDF I'm sending you as base64 — I need its contents as base64 so I can decode it.”

Attach a file to an existing PDF

“Take this PDF (I'll give you it as base64) and attach this CSV file (also base64) to it — name the attachment 'sales_data.csv' and set its description to 'Q1 sales figures'.”

Technical details

Endpoint

POSThttps://tanod.dev/v1/pdf/attachments?utm_source=zero.xyz

When to prefer

Use this endpoint when you need to programmatically manage embedded file attachments within PDF documents — listing what's there, extracting a specific attachment by name, or embedding a new file into an existing PDF. Prefer this over general PDF text extraction tools when the goal is the attachment layer specifically, not the page content. Useful for document workflows where PDFs serve as containers for associated files (e.g. XML invoices, spreadsheets, JSON metadata).

Side effects

PDF URL unreachable or returns non-200 — request fails with error
PDF exceeds 20 MB size limit — rejected
Private/internal/IP-literal host URLs refused for security
Base64-encoded PDF exceeds 10 MB decoded limit — rejected
Attachment name contains / or \ — rejected for 'add' action
Named attachment not found for 'extract' action — error returned
Malformed or non-PDF file submitted — processing error
Combined inline PDF + attachment base64 exceeds 10 MB — rejected

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.
name	—	extract / add: the attachment's name (add: a new one; no / or \).
action	string	list (default): names, sizes and media types; extract: one attachment by `name`, base64; add: attach `file_base64` as `name` (the attachments the PDF has are kept).
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.
mime_type	—	add: its media type (default: guessed from the name).
pdf_base64	—	The PDF as base64 (at most 10 MB decoded per request); or use url.
description	—	add: a short description stored with the attachment.
file_base64	—	add: the file to attach as base64 (at most 5 MB decoded; with an inline PDF the two together at most 10 MB).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "count": 1,
    "action": "list",
    "operation": "attachments",
    "truncated": false,
    "attachments": [
      {
        "name": "notes.txt",
        "size": 40,
        "filename": "notes.txt",
        "mime_type": "text/plain",
        "description": "Sample attachment"
      }
    ],
    "input_bytes": 1480,
    "input_pages": 1,
    "untrusted_content": true
  }
}

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