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Tanod pdfpeek - PDF Inspect
x402
Tanod pdfpeek - PDF Inspect 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).
Analyzes a PDF file and returns detailed per-page and document-level metadata including text layers, images, forms, signatures, JavaScript, and security flags
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
A JSON object with document-level fields (page_count, pdf_version, encrypted, linearized, has_form, form_fields, has_javascript, has_attachments, xfa, tagged, signature_fields, text_analysis, active_content, untrusted_content, input_bytes, scanned_page_count) and a per-page array (paper size, dimensions in points, rotation, orientation, image count, text character count, annotations, image coverage, looks_scanned, has_text_layer)
Example use cases
Security vetting before document processing
“Before we extract text from this PDF submission at https://upload.example.com/user_doc.pdf, inspect it for JavaScript, XFA forms, active content, or any untrusted material so I know if it's safe to process.”
Checking if scanned PDF needs OCR
“I have a PDF at https://docs.example.com/report.pdf — can you check whether it actually has a text layer or if the pages look scanned and will need OCR before I can search through it?”
Auditing a form PDF before deployment
“We're about to deploy this PDF form — here it is in base64 — can you tell me how many form fields it has, whether it uses XFA, if it's linearized, and what version of PDF it is?”
Technical details
Endpoint
POSThttps://tanod.dev/v1/pdf/inspect?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need lightweight structural and security metadata about a PDF before deciding whether to extract, OCR, or process it further — especially when you want to detect scanned pages, JavaScript, XFA forms, active content, or encryption without paying for a full text extraction. It is cheaper and faster than a full text-extraction call and gives you routing intelligence about the document.
Side effects
- PDF URL is private, internal, or IP-literal — request is refused
- PDF exceeds 20 MB via URL or 10 MB via base64 — request is rejected
- URL returns a non-PDF file — parsing fails
- Neither url nor pdf_base64 is provided — bad request
- Malformed base64 input — decoding error
- Network timeout fetching remote URL
- Password-protected encrypted PDF cannot be fully parsed
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": {
"xfa": true,
"pages": [
{
"page": 1,
"paper": "Letter",
"images": 0,
"mediabox": [
0,
0,
611.98,
791.97
],
"rotation": 0,
"width_pt": 611.98,
"height_pt": 791.97,
"text_chars": 5794,
"annotations": 23,
"orientation": "portrait",
"looks_scanned": false,
"has_text_layer": true,
"image_coverage": 0
},
{
"page": 2,
"paper": "Letter",
"images": 0,
"mediabox": [
0,
0,
611.98,
791.97
],
"rotation": 0,
"width_pt": 611.98,
"height_pt": 791.97,
"text_chars": 8392,
"annotations": 0,
"orientation": "portrait",
"looks_scanned": false,
"has_text_layer": true,
"image_coverage": 0
},
{
"page": 3,
"paper": "Letter",
"images": 0,
"mediabox": [
0,
0,
611.98,
791.97
],
"rotation": 0,
"width_pt": 611.98,
"height_pt": 791.97,
"text_chars": 7887,
"annotations": 0,
"orientation": "portrait",
"looks_scanned": false,
"has_text_layer": true,
"image_coverage": 0
},
{
"page": 4,
"paper": "Letter",
"images": 0,
"mediabox": [
0,
0,
611.98,
791.97
],
"rotation": 0,
"width_pt": 611.98,
"height_pt": 791.97,
"text_chars": 7457,
"annotations": 0,
"orientation": "portrait",
"looks_scanned": false,
"has_text_layer": true,
"image_coverage": 0
},
{
"page": 5,
"paper": "Letter",
"images": 0,
"mediabox": [
0,
0,
611.98,
791.97
],
"rotation": 0,
"width_pt": 611.98,
"height_pt": 791.97,
"text_chars": 6114,
"annotations": 0,
"orientation": "portrait",
"looks_scanned": false,
"has_text_layer": true,
"image_coverage": 0
},
{
"page": 6,
"paper": "Letter",
"images": 0,
"mediabox": [
0,
0,
611.98,
791.97
],
"rotation": 0,
"width_pt": 611.98,
"height_pt": 791.97,
"text_chars": 3147,
"annotations": 0,
"orientation": "portrait",
"looks_scanned": false,
"has_text_layer": true,
"image_coverage": 0
}
],
"tagged": true,
"has_form": true,
"encrypted": false,
"operation": "inspect",
"linearized": false,
"page_count": 6,
"attachments": 0,
"form_fields": 23,
"has_outline": false,
"input_bytes": 140815,
"pdf_version": "1.7",
"outline_depth": 0,
"outline_items": 0,
"scanned_pages": [],
"signed_fields": 0,
"text_analysis": "complete",
"active_content": {
"xfa": 1,
"javascript": 1
},
"has_javascript": true,
"has_attachments": false,
"pages_with_text": 6,
"signature_fields": 0,
"untrusted_content": true,
"javascript_actions": 1,
"scanned_page_count": 0,
"attachments_truncated": false
}
}Tags
x402
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