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Simulation Caches Trailing Mean Series and Two-Measure Correlation
x402
Simulation Caches Trailing Mean Series and 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 trailing mean time series and a two-measure correlation report for simulation cache records (cache_gb, simulation_seconds) on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Trailing mean series + Two-measure correlation: Trailing mean 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 trailing mean time series for the selected measure (cache_gb or simulation_seconds) computed over the specified rolling window across the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across the dataset. Both reports are derived entirely from the user-supplied data with no external lookups.
Example use cases
Simulation performance bottleneck detection
“I have 50 rows of daily simulation data with cache_gb and simulation_seconds per asset group. Can you run a trailing mean series on simulation_seconds with a window of 5 and show me the correlation between cache size and simulation duration so I can spot bottlenecks?”
Cache growth trend for capacity planning
“Here are 100 rows of simulation cache records across groups A, B, and C spanning the last quarter. Compute a rolling mean of cache_gb with a window of 7 and also give me the correlation between cache_gb and simulation_seconds so I can plan storage capacity.”
Asset group comparison via moving average
“I need to compare cache usage trends across my simulation asset groups. I have 30 rows with dates, cache_gb, and simulation_seconds. Run a trailing mean on cache_gb with window size 3 and report the two-measure correlation between cache_gb and simulation_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular simulation cache data (cache_gb and simulation_seconds) and need both a rolling/trailing mean time series and a pairwise correlation report in a single call, without requiring external data sources or live lookups. It is ideal for offline batch analytics on up to 200 rows of simulation performance records at minimal cost.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit, request rejected
- Window size larger than number of rows — trailing mean may produce sparse or empty results
- Missing required fields (row_id, date, cache_gb, simulation_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- null values in numeric fields may reduce effective sample size for correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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