Thesis Milestones — Two-Measure Correlation + Secondary-Measure Weighted Mean 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).
Computes Pearson/rank correlation between completed and planned thesis milestones and a weighted mean of a secondary measure, across up to 200 supplied rows, returning two analytical reports.
Thesis milestones — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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 for the submitted dataset: (1) a Pearson or rank correlation coefficient between the two milestone measures (completed_milestones and planned_milestones), and (2) a weighted mean of the selected secondary measure. Results are derived entirely from the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-181?utm_source=zero.xyzChoose this endpoint when you have tabular thesis or academic milestone data (up to 200 rows) and need both a correlation between two numeric measures and a weighted mean in a single low-cost call. Ideal for education analytics pipelines that need lightweight, offline statistical computation without external data dependencies. Prefer this over general-purpose analytics platforms when cost ($0.01 USDC for two reports) and simplicity matter.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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