Thesis Milestones — Two-Measure Correlation + Date by Category Pivot 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).
Runs two local analytical reports on thesis milestone data: a correlation between completed and planned milestones, and a date-by-category pivot table, for up to 200 rows.
Thesis milestones — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied thesis milestones records (completed_milestones, planned_milestones). 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 two-measure correlation showing the statistical relationship between completed_milestones and planned_milestones across the supplied rows, and (2) a date-by-category pivot table breaking down the selected milestone field (completed or planned) by date and course_group. All computation is local with no external lookups. Covers up to 200 input rows per call.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-182?utm_source=zero.xyzChoose this endpoint when you have up to 200 rows of thesis or academic milestone records with both completed and planned counts, and you need both a correlation analysis and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for education analytics workflows where no live external data, predictions, or professional assessments are needed — just local statistical computation on supplied data.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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