Turn any RFQ PDF into a structured bid decision in seconds.
BidRadar is an AI-native B2B API that analyzes Request for Quotation documents and returns structured intelligence β red flags, bid scores, and response skeletons β via a single API call.
Send a PDF. Get back:
- Bid Score (0β100) with recommendation:
bid/conditional_bid/no_bid - Red Flags β timeline risks, liability clauses, payment terms, compliance gaps
- Requirements β extracted and categorized (technical, legal, logistic, commercial)
- Response Skeleton β formal opening paragraph in DE or EN
curl -X POST https://your-server:8001/v1/analyze \ -H "X-API-Key: your-api-key" \ -F "file=@rfq.pdf"
| Parameter | Type | Description |
|---|---|---|
| file | RFQ document (max 20MB, text layer required) |
Headers: X-API-Key: your-key
Response:
{
"job_id": "rfq_3f0f2ef1",
"status": "completed",
"meta": { "pages": 1, "processing_ms": 17260 },
"result": {
"summary": "...",
"bid_score": 42,
"bid_recommendation": "conditional_bid",
"bid_reasoning": "...",
"red_flags": [...],
"requirements": [...],
"response_skeleton": "..."
}
}Returns {"status": "ok"} β no auth required.
| Code | Meaning |
|---|---|
| 401 | Missing or invalid API key |
| 400 | Not a PDF |
| 422 | PDF has no text layer (scanned without OCR) |
| 429 | Rate limit exceeded (10 requests/day) |
| 500 | Internal error |
- FastAPI β API layer
- PyMuPDF β PDF text extraction
- Claude (Anthropic) β AI analysis engine
- SQLite β Job logging
- systemd β Production deployment
BidRadar analyzes private sector RFQs only.
Public procurement and government tenders are out of scope.
Built by Devcany β Industrial AI & B2B API Development.