Tutoring Sessions — 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 2026-10-26).
Analyzes tutoring session records to produce category frequency counts for course groups and a Pearson/rank correlation between session_minutes and session_count.
Tutoring sessions — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied tutoring sessions records (session_minutes, session_count). 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 how many records fall into each course_group value, and (2) a two-measure correlation report quantifying the statistical relationship between session_minutes and session_count across the supplied rows. No external data is fetched; all computation is performed locally on the submitted dataset of up to 200 rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-16-108?utm_source=zero.xyzChoose this endpoint when you have tabular tutoring session data and need both a categorical frequency breakdown by group and a linear/rank correlation between two numeric measures in a single low-cost call. It is ideal for education analytics pipelines where you want quick descriptive stats without setting up a data warehouse. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for lightweight per-batch analysis. Prefer alternatives if you need predictions, external data enrichment, more than 200 rows, or more than two analytical report types.
| Field | Type | Description |
|---|---|---|
| rows | array |
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