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Simulation Caches — Category Frequencies + Secondary-Measure Weighted Mean
x402
Simulation Caches — Category Frequencies + Secondary-Measure Weighted Mean 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).
Computes category frequency counts and a secondary-measure weighted mean for simulation cache records (cache_gb, simulation_seconds) grouped by asset group, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean 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) category frequencies showing how often each asset_group value appears across the submitted rows, and (2) a weighted mean of the selected numeric field (cache_gb or simulation_seconds) weighted by the secondary measure — both computed locally without external lookups, for up to 200 input rows.
Example use cases
Simulation workload distribution by team
“I have 50 simulation runs across three asset groups — compute-heavy, memory-heavy, and balanced — with cache sizes and simulation durations for each. Can you tell me how frequently each group appears and what the weighted average cache size is using simulation seconds as the weight?”
Weekly cache usage audit
“Here are 120 rows of simulation cache records from last week, each tagged with an asset group, a date, cache_gb used, and how long the simulation ran in seconds. Run the category frequency and weighted mean analysis on cache_gb for me so I can see which groups are dominating cache usage.”
Comparing simulation efficiency across asset groups
“I want to understand which asset groups in my simulation data use the most cache relative to how long they run. I have 80 records with asset_group, cache_gb, and simulation_seconds fields — can you compute the group frequencies and the simulation_seconds-weighted mean of cache_gb?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-109?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured simulation cache records with asset group labels and need both frequency-based categorical analysis and a weighted mean of a numeric metric in a single call, without needing live data, predictions, or external enrichment. Ideal for batch summarization of up to 200 simulation records at very low cost ($0.01).
Side effects
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) causes validation error
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Null values in the numeric fields may affect weighted mean calculation
- Invalid field enum value (not cache_gb or simulation_seconds) causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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