NetIntel Extract Table is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Extracts structured tabular data from a webpage or document URL, returning rows, columns, and a quality grade
Extract tabular data from messy text or HTML using Claude Haiku — detects columns and rows in unstructured content and returns clean structured JSON (columns + rows) so agents can turn pasted tables, HTML tables, and delimited text into usable data in one call.
Returns a JSON object with a quality grade (e.g. 'A') and numeric score (0-100), the extracted table containing column names, rows as key-value objects, row count, and column count, plus a list of findings/warnings and a cached flag indicating if the result was served from cache.
POSThttps://netintel-production-440c.up.railway.app/extract/tableUse this endpoint when you need to extract structured tabular data (rows and columns) from a specific web page URL and want a graded quality assessment of the extraction. Prefer this over generic scraping when you specifically need table structure in JSON format with column headers and per-row data.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"table": {
"rows": [
{
"qty": "10",
"price": "5.00",
"product": "Widget A"
},
{
"qty": "4",
"price": "7.50",
"product": "Widget B"
}
],
"columns": [
"product",
"price",
"qty"
],
"row_count": 2
},
"cached": false,
"findings": [],
"column_count": 3
}
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