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Validation Rule Results — Record Quality Audit + Trailing Mean Series
x402
Validation Rule Results — Record Quality Audit + Trailing Mean 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 on validation rule result records: a record quality audit and a trailing mean time series, 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 + Trailing mean series: Record quality audit + Trailing mean 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 for the submitted rows: (1) a record quality audit flagging data completeness, consistency, and anomalies for the passed_rules and total_rules fields; and (2) a trailing mean time series computed over the specified window size for the chosen field, segmented by dataset_group and date order.
Example use cases
Data pipeline quality check
“I have daily validation rule results for my ETL pipeline — 120 rows with passed_rules and total_rules per dataset group. Can you audit the record quality and show me a trailing mean with a window of 7 for the passed_rules field?”
Multi-group compliance trend review
“Audit my validation records across three dataset groups for the past quarter — about 90 rows total — and compute the trailing mean series with a window of 10 on total_rules so I can spot compliance drift over time.”
Spot-check small batch of rule results
“I just ran a small validation job — 15 rows of passed_rules and total_rules results across two groups. Can you do a quality audit and a trailing mean with window size 3 on passed_rules to see if anything looks off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — a quality audit and a rolling mean trend — on validation rule pass/fail records without any external lookup or prediction. Ideal for data engineering teams monitoring ETL pipeline quality, compliance analysts reviewing rule adherence over time, or any workflow that needs lightweight, self-contained analytics on up to 200 rows of rule result data at minimal cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (non-YYYY-MM-DD strings) — validation error
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — schema error
- Window size larger than number of submitted rows — trailing mean may return partial or empty series
- Null values in numeric fields — may reduce audit coverage or produce NaN in mean calculations
- Payment not provided or insufficient USDC — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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