Elevation Samples — 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 2026-11-02).
Computes Pearson/rank correlation between elevation_m and sample_weight, plus a weighted mean of sample_weight, for up to 200 supplied elevation sample rows — no external data fetched.
Elevation samples — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied elevation samples records (elevation_m, sample_weight). 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 correlation coefficient measuring the linear relationship between elevation_m and sample_weight across all supplied rows, and (2) a weighted mean of the secondary measure (sample_weight), computed locally without any external data fetch or prediction.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-181?utm_source=zero.xyzChoose this endpoint when you have tabular elevation sample data with associated weights and need both a correlation statistic and a weighted mean in a single API call, without requiring external data sources, predictions, or live lookups. It is especially useful for offline or batch analytical pipelines where two statistical reports are needed cheaply ($0.01 per call) on small datasets up to 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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