Training Assessments — Category Frequencies + Two-Measure Correlation 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).
Analyzes training assessment records by computing course group category frequencies and Pearson/Spearman correlation between pre-score and post-score columns, returning two reports for up to 200 rows.
Training assessments — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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) a category frequency table showing counts and proportions for each unique course_group value, and (2) a two-measure correlation report (e.g. Pearson and Spearman) between the pre_score and post_score columns across all supplied rows. No external lookups or predictions are made; all analysis uses local engines on the submitted data.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-108?utm_source=zero.xyzChoose this endpoint when you have tabular training assessment data with a course/group category column and paired numeric pre/post scores, and you need both a group frequency breakdown and a correlation statistic in a single low-cost call. It is ideal for education analytics, HR training evaluation, or learning management reporting where you want two complementary statistical views (distribution + relationship) without setting up a full analytics pipeline. It handles up to 200 rows per call for $0.01 USDC.
| Field | Type | Description |
|---|---|---|
| rows | array |
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