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Simulation Caches — Daily Sum Series + Two-Measure Correlation
x402
Simulation Caches — Daily Sum Series + Two-Measure Correlation 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 daily sum time series and a two-measure correlation report for supplied simulation cache records (cache_gb, simulation_seconds) — up to 200 rows, two bundled analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 daily sum time series aggregating the selected measure (cache_gb or simulation_seconds) by date, and (2) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across the supplied rows. All computation is performed locally on the supplied data with no external lookups.
Example use cases
Simulation resource trend analysis
“I've got 120 rows of daily simulation cache logs with cache_gb and simulation_seconds per asset group. Can you give me a daily sum series for cache_gb and a correlation between cache_gb and simulation_seconds so I can see if bigger caches lead to longer runtimes?”
Capacity planning for simulation infrastructure
“Here are 80 records of our simulation runs by date, each with cache_gb and simulation_seconds. I need the daily totals summed up for simulation_seconds and a correlation report between cache_gb and simulation_seconds to help plan our infrastructure capacity.”
Comparing cache efficiency across asset groups
“I have simulation data for two asset groups — group-a and group-b — across 60 days with cache_gb and simulation_seconds per row. Can you compute the daily sum series for cache_gb and tell me how correlated cache size is with simulation time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records and need both a daily sum time series and a correlation analysis between cache_gb and simulation_seconds in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical workflows on supplied data where no live data lookup, prediction, or external enrichment is needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Rows missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) — validation error
- Date values not matching YYYY-MM-DD format — parsing failure
- All values for one measure are null — correlation computation may be undefined
- field enum value not matching 'cache_gb' or 'simulation_seconds' — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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