Validation Rule Results Analytics: Numeric Row Ordering + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Analyzes supplied validation rule result records (passed_rules, total_rules) by computing numeric row ordering and two-measure correlation across up to 200 rows.
Validation rule results — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied validation rule results records (passed_rules, total_rules). 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.
Returns two independent analytical reports: (1) a numeric row ordering report ranking the supplied rows by the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between passed_rules and total_rules across up to 200 supplied rows. All analysis is performed on the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-120?utm_source=zero.xyzChoose this endpoint when you have tabular validation rule result data (passed_rules and total_rules per row) and need both a ranked ordering of rows by a numeric measure and a statistical correlation between the two measures — all computed locally on your supplied data with no external API calls, predictions, or side effects. Ideal for data quality teams auditing rule compliance metrics across dataset groups and date ranges within a 200-row batch.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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