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Bounty Engineer Document Structure Scan
x402
Bounty Engineer Document Structure Scan is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Extracts structural elements from document text, including headings, dates, amounts, obligation markers, and character/line counts with offsets.
Price / call$0.005
Success—
StatusUnknown
How this service works
Machine-buyable infrastructure for autonomous agents: API cost routing, margin optimization, funding-rate data, webpage extraction, result verification, spend controls, retry planning, state, tender search and GitHub bounty intelligence.
Output
Returns a JSON object with: ok status, mode label, an array of detected dates with values and character offsets, an array of amounts with values and offsets, an array of headings with line numbers and text, an array of obligation markers (e.g. 'shall') with offsets, total line and character counts, a SHA-256 hash of the document, and a limitations disclaimer noting this is structural extraction only and not legal advice.
Example use cases
Contract obligation detection
“I need to review this vendor contract before signing — can you scan it and pull out all the headings, any dates, dollar amounts, and places where it says 'shall' or similar obligation language? Here's the text: 'VENDOR AGREEMENT\n1. Services\nVendor shall deliver software by 2025-03-01.\n2. Payment\nClient shall pay $10,000 upon delivery.'”
Invoice date and amount extraction
“I've got a batch of invoice text and I need to extract all the dates and monetary amounts with their positions in the document — can you run this through the document structure scanner? Text: 'INVOICE #1042\nDate: 2025-06-15\nAmount Due: €1,200\nDue Date: 2025-07-15'”
Document integrity fingerprinting
“Can you scan this agreement text and give me its SHA-256 hash along with the structural breakdown? I want to verify the document hasn't changed later. Text: 'MUTUAL NDA\n1. Confidentiality\nBoth parties shall keep all shared information confidential until 2027-12-31.'”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/document-structure-scan?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight structural extraction from a document — especially to detect dates, monetary amounts, obligation language, and section headings with character-level offsets — without needing full NLP understanding or legal interpretation. It is well-suited for pre-processing contracts or agreements before deeper review, and for generating a SHA-256 fingerprint of document content for integrity tracking. Prefer alternatives if you need semantic understanding, entity resolution, or legal risk assessment.
Side effects
- Empty or missing 'text' field returns error or empty structure arrays
- Extremely long documents may hit processing limits or timeout
- Non-textual or binary input may produce empty results with no meaningful structure
- Ambiguous date or amount formats may be missed or incorrectly parsed
- Network timeout on the hosted Render.com infrastructure during high load
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "document_structure_scan",
"dates": [
{
"value": "2026-10-31",
"offset": 56
}
],
"lines": 3,
"amounts": [
{
"value": "€500",
"offset": 48
}
],
"headings": [
{
"line": 1,
"text": "SERVICE AGREEMENT"
},
{
"line": 2,
"text": "1. Payment"
}
],
"characters": 67,
"limitations": [
"Structural extraction only; not legal advice and not a determination of rights, enforceability or risk."
],
"document_sha256": "38a40d516335e424fbfa80cd06efc3b9a73e50abc6e46cc7e026f865a3498525",
"obligation_markers": [
{
"term": "shall",
"offset": 38
}
]
}
}Tags
x402
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