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Validation Rule Results Analytics — Two-Measure Correlation + Date-by-Category Pivot
x402
Validation Rule Results Analytics — Two-Measure Correlation + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Runs two local analytical reports on validation rule result records: a two-measure correlation between passed_rules and total_rules, plus a date-by-category pivot table.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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.
Output
Returns two independent analytical reports computed locally on the supplied rows: (1) a two-measure correlation analysis between passed_rules and total_rules showing the statistical relationship, and (2) a pivot table breaking down the selected measure (passed_rules or total_rules) by date and dataset_group category. No external data is fetched; all analysis is performed on the up-to-200 input rows provided.
Example use cases
Data pipeline quality correlation check
“I have my ETL pipeline's daily validation records for October — each row has a date, a dataset_group like 'sales' or 'inventory', passed_rules, and total_rules. Can you compute the correlation between passed_rules and total_rules and also give me a pivot of those numbers broken down by date and group?”
Multi-team dataset compliance reporting
“We have validation results from three dataset groups — 'finance', 'ops', and 'hr' — across the last month, with passed_rules and total_rules for each day. Run a correlation report and a date-by-category pivot on these records so I can see which groups and dates are underperforming.”
Data quality audit before release
“Before we release this dataset, I want to check how strongly total_rules and passed_rules correlate with each other and see a pivot table of pass rates by date and dataset_group for our 150 validation result rows. Can you do both reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected validation rule result records (passed_rules, total_rules) and need both a correlation analysis and a date-by-category pivot in a single call without any external data lookups. It is ideal for data quality monitoring workflows where you want quick local analytics on up to 200 rows of rule-based test results organized by dataset group and date.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds max row limit
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation error
- Date field not in YYYY-MM-DD format — pattern validation failure
- Numeric fields out of allowed range — schema rejection
- All values null for a measure — correlation cannot be computed
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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