Training Assessments — Numeric Row Ordering + 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 2026-10-26).
Sorts training assessment rows numerically and fills missing pre_score or post_score values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.
Training assessments — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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: (1) the assessment rows sorted in numeric order by row, and (2) the specified field (pre_score or post_score) with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are derived from the supplied data using local analytical engines with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-124?utm_source=zero.xyzChoose this endpoint when you need to both numerically order training assessment records and impute missing numeric scores (pre_score or post_score) in a single paid call, getting two structured reports back. Ideal for preprocessing education or training data before downstream analysis, especially when your dataset has up to 200 rows with null score entries and you want a deterministic fill method (zero, mean, or median) without involving any live prediction or external data sources.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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