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Schema Conformity — Numeric Interval Filter + Trailing Mean Series
x402
Schema Conformity — 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 2026-10-14).
Applies a numeric interval filter and computes a trailing mean series on schema conformity records (valid_records, checked_records) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series for supplied schema conformity records (valid_records, checked_records). 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 reports: (1) interval-filtered conformity records where the selected field falls within the specified minimum/maximum bounds, and (2) a trailing mean series computed over the selected numeric field using the specified rolling window size — both derived from the supplied schema conformity rows.
Example use cases
Data quality trend smoothing
“I have daily schema conformity logs for two dataset groups — can you filter valid_records between 5 and 500 and compute a trailing mean series with a window of 7 so I can see the smoothed trend?”
Interval filter on checked records
“Take my 80 conformity records and filter checked_records to only values between 10 and 200, then give me a trailing mean with a window of 3 — I want to see the rolling average after removing outlier counts.”
Monitoring data pipeline conformity
“I'm tracking schema conformity across dataset groups over the last quarter. Can you run a numeric interval filter on valid_records (minimum 0, maximum 1000) and return the trailing mean series with a window of 4 for all 120 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric range filter and a rolling/trailing mean series computed together on schema conformity records (valid_records or checked_records) in a single call. It is ideal for data quality monitoring pipelines where you want to smooth out noise in conformity metrics over time while also restricting analysis to a specific numeric interval. Prefer this over generic analytics endpoints when your data specifically tracks valid_records and checked_records per dataset_group and date.
Side effects
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- Fewer than 1 or more than 200 rows provided returns an error
- Window size larger than the number of rows may produce empty or partial trailing mean results
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- minimum greater than maximum produces an empty filtered result set
- null values in the selected field may be excluded from computations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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