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Validation Rule Results — Record Quality Audit & Numeric Distribution
x402
Validation Rule Results — Record Quality Audit & Numeric Distribution 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 quality audit and numeric distribution) on up to 200 rows of validation rule result data (passed_rules, total_rules).
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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 data completeness, nulls, and anomalies across the submitted rows, and (2) a numeric distribution profile of the selected field (passed_rules or total_rules), including statistics such as min, max, mean, and frequency distribution — all computed locally with no external data lookups.
Example use cases
Data pipeline validation quality audit
“I just ran my ETL pipeline validation and collected results for 120 rows across two dataset groups — can you give me a record quality audit and numeric distribution of the passed_rules field so I can see how well my data is passing validation checks?”
Rule compliance distribution across groups
“I have a batch of 80 validation records with passed_rules and total_rules values across three dataset groups from last month — run a quality audit and distribution report on total_rules so I can understand where compliance is weakest.”
Daily data quality snapshot for monitoring
“Here are today's 30 validation rule result rows with row_id, date, dataset_group, passed_rules, and total_rules — can you produce a record quality audit and numeric distribution on passed_rules so I can track our daily data quality trend?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-004?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of validation rule result records and need both a quality audit (record completeness, null checks) and a numeric distribution profile in a single low-cost call ($0.01 USDC). Ideal for data engineers and analytics pipelines that want lightweight, offline statistical profiling of rule pass/fail data without any external lookups or live integrations. Prefer this over general-purpose analytics APIs when the data is already structured with passed_rules and total_rules fields and you need fast, cheap, self-contained analysis.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Numeric values outside allowed range (-1T to +1T) — schema error
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation failure
- Invalid field selector (not 'passed_rules' or 'total_rules') — enum error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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