Thesis Milestones Two-Measure Correlation and 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 2026-10-25).
Computes correlation between completed and planned thesis milestones and fills missing values using a chosen method, across up to 200 submitted rows.
Thesis milestones — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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 independent analytical reports: (1) a two-measure correlation report quantifying the statistical relationship between completed_milestones and planned_milestones, and (2) a missing-value fill report where nulls in the chosen field are replaced using the selected method (zero, mean, or median). Both reports are computed locally from the supplied rows without any external data lookup.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-184?utm_source=zero.xyzChoose this endpoint when you have tabular thesis milestone data (completed vs. planned) with up to 200 rows and need both a correlation analysis and a missing-value imputation in a single $0.01 call. It is purpose-built for education/academic-tracking datasets with the specific completed_milestones and planned_milestones schema. Prefer it over generic stats APIs when you want bundled reports with no external data dependencies and a fixed low cost per batch.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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