Training Assessments — 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 2026-10-29).
Computes a trailing mean time series and fills missing values for pre_score or post_score fields in training assessment records (up to 200 rows, 2 reports per call).
Training assessments — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill for supplied training assessments records (pre_score, post_score). 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.
Returns two analytical reports for the submitted training assessment rows: (1) a trailing mean time series computed over the specified window for the chosen field (pre_score or post_score), and (2) the same field with missing values explicitly filled using the selected method (zero, mean, or median). Both reports are computed locally from the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-154?utm_source=zero.xyzChoose this endpoint when you need both a rolling/trailing mean smoothing and explicit missing-value imputation applied to training or education assessment score data in a single call, without relying on external data sources or predictive models. It is ideal for pre-processing up to 200 assessment records before downstream reporting or visualization, especially when you want two distinct analytical outputs (smoothed series + filled series) for the price of one call.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
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