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Validation Rule Results — Record Quality Audit + Daily Sum Series
x402
Validation Rule Results — Record Quality Audit + Daily Sum Series 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 (record-level quality audit and daily sum time series) on up to 200 validation rule result rows containing passed_rules and total_rules fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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-level quality audit covering completeness and validity of each row's passed_rules/total_rules values, and (2) a daily sum time series aggregating the selected field (passed_rules or total_rules) by date across all supplied rows. Up to 200 rows processed per call.
Example use cases
Daily pipeline validation health check
“I have validation rule results from our ETL pipeline for the past two weeks — each row has a date, dataset_group, passed_rules, and total_rules. Can you audit the record quality and show me the daily sum series for passed_rules so I can spot which days had the most failures?”
Dataset group quality comparison
“We ran data quality checks across three dataset groups last month and logged passed_rules and total_rules for each row. Can you give me a record quality audit plus the daily totals for total_rules so I can compare compliance across groups?”
Pre-release data validation review
“Before we ship this dataset, I need to audit 120 rows of validation rule results — each has a date, row_id, group name, passed_rules, and total_rules. Run both the quality audit and the daily sum series on passed_rules and flag anything that looks off.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular validation rule result records (with passed_rules and total_rules columns) and need both a per-record quality audit and a daily aggregated time series in a single low-cost call. It is ideal for small-to-medium batches (up to 200 rows) where you want offline, deterministic analytics without external lookups or predictions. Prefer it over general-purpose analytics when your data is already structured around rule pass/fail counts grouped by date and dataset group.
Side effects
- Exceeding 200 rows returns a validation error
- Rows missing required fields (row_id, date, dataset_group, passed_rules, total_rules) are rejected
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Invalid field enum value (not passed_rules or total_rules) causes request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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