Simulation Caches — Date×Category Pivot + Explicit 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 2026-10-22).
Pivots simulation cache records (cache_gb, simulation_seconds) by date and asset group category, then fills missing values using zero, mean, or median imputation — returns two analytical reports per call.
Simulation caches — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill 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 based on the supplied simulation cache records: (1) a date-by-category pivot table showing the selected metric (cache_gb or simulation_seconds) spread across asset groups on each date, and (2) the same dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally with no external lookups. Up to 200 rows supported per call.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-189?utm_source=zero.xyzChoose this endpoint when you have simulation cache tabular data (cache_gb and/or simulation_seconds) keyed by date and asset group and need both a date-by-category pivot reshaping AND explicit missing-value imputation (zero, mean, or median) in a single low-cost call. Ideal for offline/batch analytical prep of up to 200 rows where no live data lookup, prediction, or external action is needed. At $0.01 USDC you get two independent analytical reports simultaneously, making it more efficient than running pivot and imputation separately.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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