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Simulation Caches — Date by Category Pivot + Keyed Dataset Comparison
x402
Simulation Caches — Date by Category Pivot + Keyed Dataset Comparison 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).
Performs two analytical reports on simulation cache data: a date-by-category pivot table and a keyed comparison between two supplied datasets, covering cache_gb and simulation_seconds metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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 date-by-category pivot table cross-tabulating the selected metric (cache_gb or simulation_seconds) by date and asset_group, and (2) a keyed dataset comparison showing differences between the two supplied datasets matched by row_id. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Monthly cache usage pivot by asset group
“I have 120 rows of simulation cache records with dates, asset groups, and cache_gb values — please pivot them so I can see total cache_gb per asset group across each date.”
Before-and-after dataset comparison
“I ran simulations before and after an infrastructure change and have two datasets of up to 200 rows each with cache_gb and simulation_seconds. Can you compare them row-by-row using row_id as the key so I can see where the values changed?”
Simulation seconds analysis across categories
“Here are my simulation cache logs split into two groups — please do a date-by-category pivot and a keyed comparison focused on simulation_seconds so I can spot which asset groups are taking longer over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have simulation cache tabular data (with cache_gb and simulation_seconds) and need both a pivot table by date/category and a side-by-side keyed comparison between two datasets in a single low-cost call. Ideal for offline or batch analytical use cases on pre-collected simulation records where no live data fetching or external prediction is needed.
Side effects
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) in any row returns a validation error
- More than 200 rows submitted causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- Empty rows array rejected (minItems: 1)
- Invalid field enum value (not cache_gb or simulation_seconds) causes an error
- Numeric values outside the allowed range trigger boundary errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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