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Boring API – PDF Table Extraction
x402
Boring API – PDF Table Extraction is a paid API for AI agents from api.relaex-engineers.de, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-10).
Extracts structured table data from PDF documents provided via a public URL, returning parsed table content as JSON with a confidence level.
Price / call$0.02
Success—
StatusUnknown
How this service works
Deterministic analysis APIs and MCP tools: supplier price list comparison, PDF table extraction, product feed validation, product data mapping.
Output
A JSON object containing the extracted table data under a 'result' key, a 'status' field indicating success, and a 'confidence' object with a level (e.g. 'high') indicating how reliably the tables were parsed.
Example use cases
Supplier price list ingestion
“I just received a new supplier price list as a PDF at https://example.com/parts-prices-2024.pdf — can you pull out all the pricing tables so I can compare them with our current costs?”
Invoice data extraction for accounting
“Extract the line-item table from this invoice PDF at https://files.mycompany.com/invoice-7842.pdf so I can import the amounts and descriptions into our accounting system.”
Research report table capture
“There's a market research report at https://reports.example.com/market-data-q3.pdf — can you extract all the data tables from it and give me the numbers in a structured format?”
Technical details
Endpoint
POSThttps://api.relaex-engineers.de/v1/documents/tables?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, structured extraction of table data from PDFs hosted at a public URL and require a machine-readable JSON output with a confidence indicator. It is especially well-suited for processing supplier price lists, invoices, and data-dense reports where table structure matters. Prefer it over general-purpose LLM-based document parsers when reproducibility and determinism are important.
Side effects
- File URL is not publicly accessible or returns a non-200 response — extraction fails with an error
- Provided URL does not point to a PDF or supported document format — returns an error or empty result
- PDF contains scanned images rather than native text — low confidence or empty extraction
- PDF has no detectable tables — returns empty result with success status
- Malformed options JSON string — options are ignored or cause a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| options | string | Optional options as a JSON string; schema under /v1/schemas/ |
| file_url | string | Public URL of the input file |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {},
"status": "success",
"confidence": {
"level": "high"
}
}
}Tags
x402
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