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Table Extraction Record Quality Audit + Secondary-Measure Weighted Mean
x402
Table Extraction Record Quality Audit + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Audits record quality and computes a secondary-measure weighted mean for table extraction data (extracted_rows vs expected_rows) across up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Table extraction — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied table extraction records (extracted_rows, expected_rows). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a record quality audit flagging issues such as nulls, mismatches, or anomalies in extracted_rows vs expected_rows across the supplied rows, and (2) a secondary-measure weighted mean calculation on the chosen field (extracted_rows or expected_rows), all computed locally with no external lookups.
Example use cases
Scraper pipeline accuracy audit
“I ran my web scraper overnight across 50 pages and I want to audit the extraction quality — here are my extracted_rows and expected_rows for each page by date and site group. Can you give me a record quality audit and a weighted mean of extracted_rows?”
ETL validation before data load
“Before I load this batch into the warehouse, can you check record quality for these 80 table extraction records and compute the weighted mean on expected_rows so I know if anything looks off?”
Multi-site extraction completeness report
“I have extraction results from three site groups over the past two weeks — up to 120 rows — and I need a quality audit plus weighted mean on extracted_rows to report back to my team on completeness.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-10-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined record quality audit and weighted mean computation on table extraction data (extracted_rows vs expected_rows) for up to 200 rows in a single low-cost call. It is purpose-built for evaluating web scraping or ETL pipeline output quality without requiring any external lookups or live data sources.
Side effects
- More than 200 rows submitted — request rejected with max items error
- Missing required fields (row_id, date, site_group, extracted_rows, expected_rows) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- All rows contain null values for the selected field — weighted mean may be undefined or zero
- Invalid field enum value (not extracted_rows or expected_rows) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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