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Validation Rule Results — Record Quality Audit & Numeric Row Ordering
x402
Validation Rule Results — Record Quality Audit & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Runs two local analytical reports on supplied validation rule result records: a record quality audit and numeric row ordering, for up to 200 rows of passed_rules/total_rules data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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: (1) a record quality audit assessing the supplied validation rule result records based on passed_rules and total_rules fields, and (2) a numeric row ordering ranking the rows by the selected field (passed_rules or total_rules). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Dataset group compliance comparison
“I have 80 validation records across two dataset groups — 'pipeline-a' and 'pipeline-b' — with dates and passed_rules and total_rules counts for each row. Can you run a record quality audit and rank them by passed_rules so I can see which group is performing better?”
Daily rule pass rate ordering
“Here are 120 rows of daily validation results from October 2026, each with a row ID, dataset group, date, passed_rules, and total_rules. Please run the numeric row ordering on total_rules so I can see which days had the most rules evaluated.”
Spotting low-quality validation records
“I want to find the weakest records in my validation dataset — I have 40 rows with passed_rules and total_rules values across several groups. Run the record quality audit on passed_rules and give me the ordering so I can flag the poor performers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have batches of validation rule result records (up to 200 rows) and need both a quality audit and numeric ordering in a single low-cost call. It is ideal for data engineering teams tracking rule compliance across dataset groups over time. Prefer this over generic analytics tools when you specifically have passed_rules/total_rules structured data and want two bundled local reports without any external data lookups or predictions.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field selector (not 'passed_rules' or 'total_rules') — enum validation error
- Null numeric values may affect ordering results
- Payment not received or insufficient USDC — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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