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PDF Form Topology Analyzer
x402
PDF Form Topology Analyzer is a paid API for AI agents from x402.bakdupoffroad.com, paid per call via x402, $0.025/call, status down (last checked 2026-09-15).
Analyzes a base64-encoded PDF to extract form structure metadata including field counts, types, and AcroForm topology — without returning or retaining field content.
Price / call$0.025
Success—
StatusDown
How this service works
Private PDF preflight and authorized-video intelligence APIs paid per call with x402 USDC on Base.
Output
Returns a JSON object containing: a job ID, form type (e.g. AcroForm), topology details (total field count, hasAcroForm flag, per-type field counts, widget page count, needsAppearances flag, signature field count), total page count, a SHA-256 hash of the source PDF, schema version, and economics metadata (net cost in micro-USD). Field names and values are deliberately omitted for privacy.
Example use cases
PDF form automation preflight
“Before I pipe this PDF into my form-filling workflow, can you check its form topology — specifically how many fields it has, whether it's an AcroForm, and if there are any signature fields I need to handle separately? Here's the base64 PDF.”
Signature field detection for compliance
“I need to know if this contract PDF has signature fields and how many — can you analyze its form topology and tell me the signature field count and form type without reading the actual content?”
Document pipeline field-type audit
“I'm getting PDFs from multiple vendors and need to categorize them by form complexity. Can you analyze this PDF's form structure and give me a breakdown of field types like text, button, and signature fields, plus the total field count?”
Technical details
Endpoint
POSThttps://x402.bakdupoffroad.com/v1/document/form-topologyWhen to prefer
Choose this endpoint when you need a privacy-safe structural summary of a PDF form — field counts and types — without any risk of field value leakage. Ideal for preflight checks before automated form-filling pipelines, compliance audits requiring signature field detection, or document triage workflows that need to categorize PDFs by form complexity. Prefer this over full PDF parsers when you explicitly do NOT want field content returned or retained, and when per-call micropayment via x402/USDC on Base is acceptable.
Side effects
- Invalid or malformed base64 input returns a parsing error
- PDF exceeds the service's advertised decoded-size limit, resulting in rejection
- Non-PDF file encoded as base64 may return an unsupported format error
- Payment failure or insufficient USDC balance returns HTTP 402
- PDF with no form fields returns topology with fieldCount of 0 and hasAcroForm false
- Network timeout on large PDF uploads
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| pdfBase64 | string | A base64-encoded PDF, up to the service's advertised decoded-size limit. Customer text is never returned or retained. |
Output
Schema · Response
{
"type": "json",
"example": {
"jobId": "00000000-0000-4000-8000-000000000000",
"result": {
"formType": "AcroForm",
"topology": {
"fieldCount": 12,
"hasAcroForm": true,
"fieldTypeCounts": {
"text": 8,
"button": 3,
"signature": 1
},
"widgetPageCount": 2,
"needsAppearances": false,
"signatureFieldCount": 1
},
"pageCount": 2,
"limitations": [
"field names and values are deliberately omitted"
],
"sourceSha256": "0000000000000000000000000000000000000000000000000000000000000000",
"schemaVersion": "1"
},
"economics": {
"netMicroUsd": 25000,
"energyMicroUsd": 0,
"revenueMicroUsd": 25000,
"platformFeeMicroUsd": 0
}
}
}Tags
x402
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