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Simulation Caches — Numeric Interval Filter + Daily Sum Series
x402
Simulation Caches — Numeric Interval Filter + Daily Sum Series 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 produces a daily sum time series for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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 reports: (1) rows from the input that fall within the specified numeric interval on the chosen field (cache_gb or simulation_seconds), and (2) a daily sum time series aggregating the chosen field's values by date, both computed locally from the supplied data with no external lookups.
Example use cases
Cache size range analysis by day
“I have 150 rows of simulation cache data with dates and cache sizes in GB. Filter down to rows where cache_gb is between 10 and 50, then show me the daily totals for cache_gb.”
Simulation runtime daily aggregation
“I need to analyze my simulation runs — can you filter out any records where simulation_seconds is outside the range 0 to 3600, and then give me a daily sum series for simulation_seconds across my dataset?”
Asset group cache monitoring
“Here's my simulation cache log for groups group-a and group-b. Apply a numeric interval filter on cache_gb from 5 to 30 and produce a daily sum series so I can see how cache usage adds up each day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records with daily timestamps and want two combined local analytics reports — a numeric interval filter and a daily sum series — on either cache_gb or simulation_seconds in a single low-cost $0.01 USDC call, without needing any external data lookup or prediction.
Side effects
- Empty rows array or rows below minItems:1 causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 bounds are rejected
- More than 200 rows submitted exceeds maxItems limit
- Invalid field enum value (must be cache_gb or simulation_seconds) causes error
- Missing required row fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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