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Validation Rule Results — Numeric Row Ordering & Secondary-Measure Weighted Mean
x402
Validation Rule Results — Numeric Row Ordering & 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).
Computes numeric row ordering and secondary-measure weighted mean analytics for validation rule result records (passed_rules, total_rules) across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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 independent analytical reports for the submitted rows: (1) a numeric row ordering report ranking the rows by the selected field (passed_rules or total_rules), and (2) a secondary-measure weighted mean report computing the weighted average of the selected field. Both reports are derived locally from the supplied data with no external lookups.
Example use cases
Data quality audit across dataset groups
“I have 50 rows of validation results with passed_rules and total_rules for two dataset groups (finance and ops) from last month. Can you rank them by numeric ordering on passed_rules and also compute the weighted mean so I can see which group is performing best?”
Pipeline validation rule monitoring
“Here are 120 rows of daily validation rule records across our ETL pipeline groups — each row has a date, row_id, passed_rules, and total_rules. Run both the numeric row ordering and secondary-measure weighted mean on total_rules so I can spot any problematic days.”
Comparing rule compliance across groups
“I've got validation results for four dataset groups over the past quarter, up to 200 rows total with passed_rules and total_rules. Give me the numeric ordering of the rows and the weighted mean for passed_rules so I can compare compliance rates across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two fast, local statistical analyses — numeric row ordering and weighted mean — on validation rule result data (passed_rules, total_rules) with up to 200 rows, and no external data lookup, prediction, or live assessment is needed. It is cost-effective at $0.01 for both reports together, ideal for data quality pipelines, compliance audits, or recurring governance checks where you want ranked ordering and a weighted aggregate in a single call.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) on any row causes validation error
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Invalid field enum value (not 'passed_rules' or 'total_rules') causes error
- Empty rows array (minItems: 1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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