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Table Extraction — Two-Measure Correlation + Keyed Dataset Comparison
x402
Table Extraction — Two-Measure Correlation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Analyzes table extraction records by computing correlation between extracted_rows and expected_rows, and comparing two keyed datasets side-by-side, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Table extraction — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 two-measure correlation report quantifying the statistical relationship between extracted_rows and expected_rows across all supplied records, and (2) a keyed dataset comparison report matching records from the primary and secondary datasets by row_id to identify discrepancies. No external data is fetched; all analysis is performed locally on the supplied data.
Example use cases
Web scraper accuracy audit
“I've got 120 rows from my web scraping pipeline with extracted_rows and expected_rows per site_group and date — can you correlate the two counts and compare them against my reference dataset to see how accurate the extraction is?”
ETL pipeline regression check
“After deploying a new ETL update, I want to compare this week's extracted row counts against last week's expected counts across our 80 tracked row IDs — run a correlation and a keyed dataset comparison so I can spot any regressions.”
Multi-site extraction yield comparison
“We have two extraction runs across group-a and group-b sites from October, each with up to 40 entries — can you compute the correlation between extracted and expected rows, and also compare the two runs key by key to flag where they diverge?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-10-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously assess extraction accuracy (via correlation) and directly compare two table extraction runs key-by-key for up to 200 records at a fixed $0.01 cost. It is ideal for QA workflows, ETL regression checks, and scraping pipeline audits where both statistical agreement and row-level discrepancy detection are needed in a single call. Prefer it over generic statistics services when your data is already structured as table extraction records with row_id, site_group, date, extracted_rows, and expected_rows fields.
Side effects
- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, extracted_rows, expected_rows) cause validation errors
- Date fields not matching YYYY-MM-DD pattern will fail schema validation
- Null values in extracted_rows or expected_rows may affect correlation calculation
- Mismatched row_ids between primary and comparison datasets reduce keyed comparison coverage
- Both 'rows' and 'other' arrays must be supplied; missing one yields incomplete reports
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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