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Simulation Caches IQR Outlier Flags and Two-Measure Correlation
x402
Simulation Caches IQR Outlier Flags 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 2026-10-21).
Analyzes simulation cache records to flag IQR-based outliers and compute two-measure correlation between cache_gb and simulation_seconds for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — IQR outlier flags + Two-measure correlation: IQR outlier flags + 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 independent analytical reports: (1) IQR outlier flags identifying which rows have cache_gb or simulation_seconds values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across the supplied rows.
Example use cases
Outlier detection in simulation infrastructure logs
“I have 150 rows of simulation cache data with cache_gb and simulation_seconds per asset group — can you flag which rows are IQR outliers and tell me if cache size and simulation time are correlated?”
Audit cache anomalies before performance review
“Before our quarterly review, I need to check our simulation cache logs for any unusual entries — run IQR outlier flags and a two-measure correlation on my cache_gb vs simulation_seconds data across all our asset groups.”
Validate simulation scaling assumptions
“We're scaling our simulation platform and I want to verify that cache_gb and simulation_seconds move together — can you run an outlier check and correlation report on these 80 rows of simulation cache records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular simulation cache records with cache_gb and simulation_seconds fields and need both outlier detection and correlation analysis in a single paid call for up to 200 rows — especially when no live lookup or external data enrichment is needed and you want a low-cost ($0.01 USDC) self-contained statistical report on your own supplied data.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, cache_gb, simulation_seconds) cause validation errors
- All null values for a measure prevent IQR or correlation computation
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Too few rows (fewer than ~4) may produce unreliable correlation estimates
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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