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PDF Repairability Probe
x402
PDF Repairability Probe is a paid API for AI agents from x402.bakdupoffroad.com, paid per call via x402, $0.015/call, status down (last checked 2026-09-15).
Analyzes a base64-encoded PDF to detect structural issues and determine whether the file is a candidate for automated repair.
Price / call$0.015
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, the PDF version, whether the file is encrypted, a SHA-256 hash of the source, detected issue categories (e.g. cross-reference-damage), a boolean repairability flag, the recommended repair method (e.g. qpdf-rewrite-and-revalidate), structure status (e.g. warnings), and a cost breakdown in micro-USD.
Example use cases
Pre-ingestion PDF triage pipeline
“Before we ingest this uploaded PDF into our document archive, can you check it for structural damage or cross-reference issues and tell me if it's a repair candidate so we know whether to queue it for repair first?”
Debugging a corrupted client PDF
“A client sent over a PDF that won't open correctly — can you analyze it to tell me what's wrong structurally, whether it's encrypted, and what repair method would apply?”
Automated document health check
“Run a repairability probe on this PDF and give me the structure status, any issue categories found, and whether it's worth attempting an automatic repair.”
Technical details
Endpoint
POSThttps://x402.bakdupoffroad.com/v1/document/repairability-probeWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call preflight check on a PDF before committing to a full repair or ingestion workflow. It is particularly useful when building automated document pipelines where you need to triage files cheaply at $0.015 per call, and when privacy matters since the service does not retain or return customer text.
Side effects
- PDF too large — exceeds service's decoded-size limit, resulting in rejection
- Invalid base64 encoding — malformed input causes a parse error
- Unsupported PDF variant — some exotic or severely corrupted PDFs may not be analyzable
- Payment failure — x402 USDC payment on Base not completed, resulting in 402 response
- Empty or missing pdfBase64 field — request body validation error
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": {
"encrypted": false,
"pdfVersion": "1.6",
"repairMethod": "qpdf-rewrite-and-revalidate",
"sourceSha256": "0000000000000000000000000000000000000000000000000000000000000000",
"schemaVersion": "1",
"issueCategories": [
"cross-reference-damage"
],
"repairCandidate": true,
"structureStatus": "warnings"
},
"economics": {
"netMicroUsd": 15000,
"energyMicroUsd": 0,
"revenueMicroUsd": 15000,
"platformFeeMicroUsd": 0
}
}
}Tags
x402
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