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Schema Conformity Trailing Mean Series + Explicit Missing-Value Fill
x402
Schema Conformity Trailing Mean Series + Explicit Missing-Value Fill 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 fills missing values for schema conformity metrics (valid_records, checked_records) across up to 200 supplied rows, producing 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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 independent analytical reports on the supplied conformity data: (1) a trailing mean series computed over the specified window for the chosen field, and (2) an explicit missing-value fill using the selected method (zero, mean, or median). Results are based entirely on the supplied rows (up to 200) with no external lookups.
Example use cases
Smoothing data quality metrics over time
“I have 120 rows of daily schema conformity data with valid_records and checked_records per group — can you compute a trailing mean series with a window of 7 and fill any missing valid_records using the mean method?”
Imputing nulls in checked_records pipeline
“My ETL pipeline has gaps in checked_records for about 80 rows across multiple dataset groups — run a trailing mean with window 3 and fill missing checked_records with zero so I can see a clean series.”
Two-metric conformity trend report
“I want two reports on my conformity data: a trailing mean series and missing-value fill for both valid_records and checked_records across 60 rows, using a window of 4 and median fill — can you run that for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a trailing moving average series and missing-value imputation computed together on schema conformity data (valid_records, checked_records) in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want two bundled analytical reports without external dependencies. Prefer alternatives if you need real-time streaming analytics, predictions, or data volumes exceeding 200 rows.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size outside 2–200 range — schema rejection
- Unknown fill method or field enum value — validation error
- Null row_id or missing required fields — per-row rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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