Simulation Caches 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 2026-10-21).
Computes Pearson correlation between cache_gb and simulation_seconds, plus a weighted mean of a secondary measure, for up to 200 simulation cache records.
Simulation caches — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied simulation caches records (cache_gb, simulation_seconds). 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) the Pearson correlation coefficient between cache_gb and simulation_seconds across the submitted rows, and (2) the weighted mean of the selected secondary measure (cache_gb or simulation_seconds). Both computed locally using shared analytical engines, no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-181?utm_source=zero.xyzChoose this endpoint when you need two simultaneous statistical reports — correlation and weighted mean — on simulation cache data (cache_gb vs simulation_seconds) without any external data enrichment or prediction. Ideal for batch statistical summarization of up to 200 in-memory simulation records at minimal cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics APIs when your data is already structured with the exact row schema and you want fast, local computation with no side effects.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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