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Schema Conformity — Trailing Mean Series + Base-100 Series
x402
Schema Conformity — Trailing Mean Series + Base-100 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).
Computes a trailing moving-average series and a base-100 index series for schema conformity metrics (valid_records, checked_records) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Trailing mean series + Base-100 series: Trailing mean series + Base-100 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 analytical reports for the supplied rows: (1) a trailing mean series showing the rolling average of the selected field over the specified window, and (2) a base-100 index series normalizing the field's values relative to the chosen base index row — both computed locally from the submitted data with no external lookups.
Example use cases
Data quality trend smoothing
“I have daily schema conformity logs for the past 6 months — 180 rows with valid_records and checked_records per dataset group. Can you run a trailing mean with a window of 14 on the valid_records field and also produce a base-100 index starting from index 0 so I can see the smoothed trend and relative growth?”
Baseline comparison for record validation
“Take my 50-row schema validation dataset with checked_records by date and group, and give me a base-100 series indexed from row 5 plus a trailing mean with window 3 — I want to see how checked_records have changed relative to that baseline.”
Multi-group conformity analysis
“I've got schema conformity data across two dataset groups — group-a and group-b — with about 90 rows total including dates, valid_records, and checked_records. Please compute both the trailing moving average with window 10 and the base-100 index series starting at index 0 on the valid_records field so I can compare the groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-147?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of schema conformity data (valid_records, checked_records) and need both a smoothed trailing mean time series and a base-100 normalized index series in a single low-cost call. Ideal for data quality monitoring pipelines that need offline, locally-computed analytics without external data fetches or predictions. At $0.01 USDC for two reports, it is cost-effective for batch analytical jobs on pre-collected validation logs.
Side effects
- Fewer than 1 row submitted — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Window size larger than the number of submitted rows produces sparse or empty trailing mean output
- base_index out of range for the submitted row count
- Missing required fields (row_id, date, valid_records, checked_records) causes rejection
- Non-numeric values in valid_records or checked_records where number expected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| base_index | integer |
Tags
x402
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