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Simulation Caches — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Simulation Caches — Numeric Interval Filter + 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 2026-10-22).
Filters simulation cache records by a numeric interval on cache_gb or simulation_seconds, then computes a secondary-measure weighted mean across the filtered rows, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + 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
Two analytical reports: (1) the subset of input rows whose chosen field (cache_gb or simulation_seconds) falls within the specified [minimum, maximum] interval, and (2) the secondary-measure weighted mean computed across those filtered records — all derived locally from supplied data, with no external lookups.
Example use cases
Filter cache records by size band
“Here are 120 simulation cache records — filter them to only rows where cache_gb falls between 5 and 100, then give me the weighted mean of simulation_seconds weighted by cache_gb across those filtered rows.”
Identify average runtime for mid-range caches
“I have simulation run logs with cache sizes and runtimes. Can you filter to records where simulation_seconds is between 30 and 300, and then calculate the weighted mean of cache_gb using simulation_seconds as the weight? I'll send you the full dataset of about 80 rows.”
Asset-group cache performance summary
“Take these 200 simulation cache records across groups 'alpha' and 'beta' — filter to rows where cache_gb is between 0 and 25, and return the weighted mean of simulation_seconds so I can compare performance in that cache size range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records (with cache_gb and simulation_seconds fields) and need both a numeric range filter AND a weighted mean of the secondary measure in a single $0.01 call. Prefer it over general-purpose analytics when the domain is simulation caching and you want two structured reports without setting up a full data pipeline or paying for a heavier analytics service.
Side effects
- Input array is empty or exceeds 200 rows — request rejected
- minimum value greater than maximum value — filter produces empty set or error
- All rows filtered out by interval — weighted mean undefined or returns null
- Non-numeric or null values in cache_gb/simulation_seconds — rows may be excluded from computation
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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