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Simulation Caches — Numeric Distribution + IQR Outlier Flags
x402
Simulation Caches — Numeric Distribution + IQR Outlier Flags 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 numeric distribution statistics and IQR-based outlier flags for simulation cache records (cache_gb and simulation_seconds) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags 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 (one per numeric field): descriptive distribution statistics (min, max, mean, median, quartiles, etc.) and IQR-based outlier flags identifying which rows fall outside the interquartile range bounds, covering up to 200 input rows.
Example use cases
Detecting bloated simulation caches
“I have 50 simulation records with cache_gb and simulation_seconds for different asset groups — can you run the numeric distribution and IQR outlier detection on cache_gb so I can find which simulations are using abnormally large caches?”
QA check on simulation runtimes
“Here are 120 rows of simulation logs with row IDs, asset groups, dates, cache sizes, and runtimes — flag any simulation_seconds values that are IQR outliers and give me the full distribution stats so I can catch runaway jobs.”
Asset group cache size audit
“I need to audit our simulation infrastructure — I've got 80 records across two asset groups with cache_gb values. Can you compute the numeric distribution and mark which rows are outliers using IQR for cache_gb?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-080?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of simulation cache records (up to 200 rows) and need both distribution statistics and IQR-based outlier detection for cache_gb and/or simulation_seconds in a single low-cost call. It is purpose-built for simulation infrastructure data with the specific fields cache_gb, simulation_seconds, asset_group, and date — prefer it over generic stats APIs when your data matches this schema exactly.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds batch limit
- Missing required fields (row_id, date, cache_gb, simulation_seconds) — validation error
- Malformed date format (not YYYY-MM-DD) — schema validation failure
- Non-numeric values in cache_gb or simulation_seconds where number expected — type error
- Payment of 0.01 USDC not attached or fails — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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