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Validation Rule Results — Numeric Interval Filter + Trailing Mean Series
x402
Validation Rule Results — Numeric Interval Filter + 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 2026-10-12).
Applies a numeric interval filter and computes a trailing mean series on validation rule result records (passed_rules, total_rules) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Numeric interval filter + Trailing mean series: Numeric interval filter + 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 analytical reports: (1) records filtered to the specified numeric interval for the chosen field, and (2) a trailing mean series computed over the chosen field with the specified window size — both derived from the supplied validation rule results data of up to 200 rows.
Example use cases
Data quality trend monitoring
“I have 120 rows of daily validation results for my pipeline, each with a date, dataset_group, passed_rules, and total_rules. Filter the passed_rules values to only those between 10 and 80, then compute a trailing mean with a window of 5 — I want to see the smoothed trend in rule pass rates.”
Outlier exclusion before rolling average
“Here are my validation records for October — about 90 rows. I want to strip out any total_rules values outside the 0 to 50 range, then compute a rolling mean with a window of 3 on total_rules so I can see the smoothed baseline without extremes.”
Dataset group rule pass analysis
“Run an interval filter on my passed_rules field keeping only values between 20 and 200, and compute a trailing mean series with window size 10, across all 150 of my validation rows. I need both reports to compare rule pass stability across my dataset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected validation rule result records (passed_rules, total_rules) and need both a numeric interval filter and a trailing mean series computed together in one call at low cost. Ideal for offline/batch analytical workflows on data quality metrics without needing live data lookup, prediction, or external integrations.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Window size larger than number of rows — trailing mean series may be empty or produce minimal output
- Minimum value greater than maximum value — interval filter returns no records
- Missing required fields (row_id, date, dataset_group) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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