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Simulation Caches — Weighted Mean + Date-by-Category Pivot
x402
Simulation Caches — Weighted Mean + Date-by-Category Pivot 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).
Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 simulation cache records (cache_gb, simulation_seconds), returning two analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot 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.
Output
Returns two analytical reports: (1) a secondary-measure weighted mean of the chosen field (cache_gb or simulation_seconds) across all submitted rows, and (2) a date-by-category pivot table cross-tabulating values by date and asset_group. No external lookups or predictions are made — all computation is performed locally on the supplied data.
Example use cases
Weighted mean of cache storage by group
“Here are 50 simulation cache records with asset groups and cache sizes in GB — compute the weighted mean of cache_gb across all of them and give me a date-by-category pivot so I can see how storage breaks down over time per group.”
Simulation runtime aggregation report
“I've got 120 simulation records with simulation_seconds values spread across several asset groups and dates — run the weighted mean and date pivot reports on simulation_seconds so I can spot which groups are consuming the most compute time.”
Capacity planning pivot for cache records
“Can you take these 80 cache records spanning October 2026 and produce both a weighted mean and a date-by-category breakdown of cache_gb? I want to understand peak cache usage by group across the month.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted mean and a date-by-category pivot on simulation cache data (cache_gb or simulation_seconds) in a single call for up to 200 rows. It is ideal for offline/batch analytical use cases where you supply your own data and want two complementary statistical views without needing external data sources, predictions, or live lookups. Prefer it over general-purpose analytics tools when cost predictability ($0.01 per call for 2 reports) and schema-validated input matter.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field value not in enum [cache_gb, simulation_seconds] — validation error
- null values in numeric fields may affect weighted mean calculation
- row_id missing or empty string — required field validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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