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Validation Rule Results – Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Validation Rule Results – Numeric Interval Filter + Secondary-Measure Weighted Mean 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).
Filters validation rule result rows by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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: (1) a numeric interval filter report showing which rows fall within the specified min/max range for the chosen field, and (2) a secondary-measure weighted mean computed across the filtered or full dataset, both derived from the supplied passed_rules and total_rules data without any external lookup.
Example use cases
Data quality pipeline health check
“I've got 120 rows of daily validation rule results across two dataset groups — filter them to rows where passed_rules falls between 10 and 100, then compute the weighted mean of total_rules as the secondary measure and give me both reports.”
Rule compliance rate analysis
“Can you analyze my validation rule results? I want to filter total_rules between 0 and 50 and then get a weighted mean report — I have about 80 rows with row_id, date, dataset_group, passed_rules, and total_rules.”
Outlier exclusion before weighted aggregation
“I need to exclude extreme values from my validation results before aggregating — filter passed_rules to only rows between 20 and 200, then run the secondary-measure weighted mean on my 40-row dataset and show me both analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of validation rule result data (passed_rules, total_rules) and need both a numeric range filter and a weighted mean computation in a single low-cost call ($0.01 USDC). It is ideal for data quality monitoring workflows where you want to isolate rows within a specific numeric band and simultaneously compute a weighted aggregate, all using supplied data without external lookups.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows supplied exceeds the row limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- minimum value greater than maximum value may produce empty filter results
- Null values in passed_rules or total_rules may affect weighted mean computation
- field enum value not matching 'passed_rules' or 'total_rules' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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