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Validation Rule Results — Record Quality Audit + Numeric Interval Filter
x402
Validation Rule Results — Record Quality Audit + Numeric Interval Filter 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 validation rule result records: a record quality audit and a numeric interval filter on passed_rules or total_rules values, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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 summarizing completeness, nulls, and anomalies across the supplied rows, and (2) a numeric interval filter report listing which rows fall within the specified minimum–maximum range for the chosen field (passed_rules or total_rules). Covers up to 200 input rows per call.
Example use cases
ETL pipeline quality gate check
“I just ran my ETL validation pipeline and got results for 120 rows across three dataset groups. Can you audit their record quality and filter the passed_rules field to show only rows where the value is between 10 and 500? Dates are from 2025-03-01 onward.”
Data governance compliance review
“We need to review our validation rule results for the 'compliance-dataset' group — audit the record quality and then filter total_rules between 1 and 50 to flag any anomalies across the 80 rows we collected in January 2025.”
Threshold-based rule failure detection
“Can you check my validation results for rows where passed_rules is outside the expected range of 0 to 20? I have 30 rows from the 'risk-scoring' dataset group dated between 2025-06-01 and 2025-06-30, and I want a quality audit alongside the interval filter.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected validation rule result records (with passed_rules and total_rules numeric fields) and need both a quality audit and a numeric range filter in a single call without any external data lookup or live computation. It is ideal for offline/batch data governance workflows where you supply your own rows and want local analytical processing only. Not suitable for real-time validation, prediction, or fetching external data.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes validation error
- Minimum value greater than maximum value may yield empty filter results
- Null or missing required fields (row_id, dataset_group, date) cause row-level errors
- Non-numeric values for passed_rules or total_rules cause schema rejection
- Field enum value not 'passed_rules' or 'total_rules' causes parameter error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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