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Data Validation Results – Two-Measure Correlation
x402
Data Validation Results – 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 2026-10-20).
Computes a two-measure correlation (e.g., checked_records vs. failed_records) over up to 200 typed data validation records, returning a local descriptive analytics report with no enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data validation results - Two-measure correlation: Two-measure correlation for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded two-measure correlation report.
Output
Returns a bounded two-measure correlation report summarizing the statistical relationship between checked_records and failed_records across the supplied validation rows. Includes a correlation coefficient and descriptive analytics derived locally from the submitted dataset, with no external enrichment or forecasting.
Example use cases
Daily validation rule quality check
“I have about 50 data validation log entries from last month, each with a rule name, date, number of records checked, and number of records that failed. Can you compute the correlation between checked_records and failed_records so I know if rules with more volume also tend to fail more?”
Comparing two rule groups statistically
“I've got validation results split across two rule groups, group-a and group-b, over the past quarter — each row has checked and failed counts. Run a two-measure correlation report on these records and tell me what the relationship looks like.”
Data quality regression investigation
“Our data quality team flagged a possible relationship between how many records we check and how many fail each day. I have 120 rows of daily validation results with checked_records and failed_records — can you calculate the correlation between those two measures?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local, descriptive two-measure correlation between checked_records and failed_records in a bounded dataset of up to 200 data validation records, without needing external data enrichment, forecasting, or multi-measure analysis. Ideal for data quality teams running lightweight statistical checks on validation pipeline outputs at low cost ($0.01 USDC per report).
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, rule, date, checked_records, failed_records) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside allowed range — schema rejection
- Insufficient variance in either measure to compute meaningful correlation — may return null or zero correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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