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Validation Rule Results Analytics — Category Frequencies & Two-Measure Correlation
x402
Validation Rule Results Analytics — Category Frequencies & 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 up to 200 rows of validation rule result records, producing two reports: category frequency breakdowns by dataset group and a correlation analysis between passed_rules and total_rules.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Category frequencies + Two-measure correlation: Category frequencies + 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.
Output
Returns two analytical reports for the submitted rows: (1) a category frequency report showing how often each dataset_group value appears across the dataset, and (2) a two-measure correlation report showing the statistical relationship between passed_rules and total_rules across all submitted records. Processing is local (no external lookups) and covers up to 200 rows per call.
Example use cases
Data quality audit by team
“I've got validation results from three teams — alpha, beta, and gamma — across 50 daily records from October 2026. Can you run category frequency and two-measure correlation reports on passed_rules vs total_rules for all of them so I can see which groups have the best compliance and whether passing more rules tracks with having more rules overall?”
Pipeline health check summary
“Run a frequency breakdown and correlation analysis on my CI pipeline validation data — I have 120 records across pipeline-a and pipeline-b from the past month, each with passed_rules and total_rules counts, and I want to know how the groups compare and whether the two metrics move together.”
Regulatory rule compliance review
“We have 80 compliance check records from our regulatory dataset, split across three dataset groups: finance, hr, and operations, dated through Q3 2026. Can you compute category frequencies per group and run the correlation between passed_rules and total_rules so we can report on which areas are most compliant?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a categorical frequency breakdown and a two-measure correlation analysis on validation rule records (passed_rules, total_rules) in a single low-cost call. It is ideal for data quality monitoring workflows where you want to understand group-level distributions and metric correlations without external computation infrastructure. It handles up to 200 rows per call and costs only $0.01 USDC for both reports together.
Side effects
- Submitting more than 200 rows returns an error or truncates results
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)
- Null values in passed_rules or total_rules may affect correlation computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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