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Simulation Caches IQR Outlier Flags + Keyed Dataset Comparison
x402
Simulation Caches IQR Outlier Flags + 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).
Runs two statistical analyses on simulation cache records: IQR-based outlier detection and keyed dataset comparison, for up to 200 rows of cache_gb and simulation_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + 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
Two independent analytical reports: (1) IQR outlier flags indicating which rows in the supplied dataset fall outside the interquartile range for the selected field, and (2) a keyed dataset comparison report showing differences between the primary and secondary datasets matched by row_id. Both reports are computed locally without external lookups.
Example use cases
Outlier detection in cache size logs
“I have 80 rows of daily simulation cache logs with cache_gb and simulation_seconds values per asset group — can you flag any IQR outliers in cache_gb and also compare this week's data against last week's dataset by row key?”
QA check on simulation run durations
“Run an IQR outlier analysis on simulation_seconds across my two simulation datasets — here are the rows for group-a and group-b with dates ranging from 2026-10-01 to 2026-10-30, and flag anything that looks statistically anomalous.”
Before-vs-after cache benchmark comparison
“I ran simulations before and after a config change and have two sets of records with cache_gb and simulation_seconds — compare them using a keyed dataset comparison and tell me which rows differ significantly, using cache_gb as the field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-179?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined IQR outlier detection and keyed dataset comparison on simulation cache metrics (cache_gb and simulation_seconds) for up to 200 rows, at very low cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when you specifically have simulation cache records with the required schema and want two coordinated statistical reports in a single call without external data dependencies.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value outside allowed numeric range — validation error
- Null values in numeric fields may affect IQR computation accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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