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Simulation Caches — Record Quality Audit + Numeric Interval Filter
x402
Simulation Caches — Record Quality Audit + Numeric Interval Filter 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).
Audits data quality and filters by numeric interval for simulation cache records (cache_gb, simulation_seconds) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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: (1) a record quality audit identifying data issues such as nulls, out-of-range values, and anomalies across the submitted rows, and (2) a numeric interval filter report listing which rows have the specified field (cache_gb or simulation_seconds) within the defined minimum-maximum range. Both reports are generated locally from the supplied data without external lookups.
Example use cases
Cache size range compliance check
“I have a list of simulation cache records across two asset groups and I want to flag any entries where cache_gb falls outside the 5 to 500 range — can you run the quality audit and interval filter on the cache_gb field for all 150 rows?”
Simulation duration outlier detection
“Can you audit data quality and filter to only rows where simulation_seconds is between 60 and 3600 for my simulation dataset? I've got about 80 rows with row_id, date, asset_group, cache_gb, and simulation_seconds.”
Pre-ingestion data validation for simulation pipeline
“Before I load these simulation cache records into our database, can you run a record quality audit and check that the cache_gb values are all between 0 and 200? I have 200 rows ready to submit.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a numeric range filter on simulation cache records (cache_gb or simulation_seconds) in a single low-cost call. It is ideal for pre-ingestion validation workflows, compliance checks on cache sizing, or simulation duration bounding — all without requiring external data sources or live lookups. Best suited for batch sizes up to 200 rows where both report types are needed simultaneously.
Side effects
- Empty rows array or missing required row fields (row_id, date, cache_gb, simulation_seconds) causes validation error
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) in row data
- Field enum value not matching 'cache_gb' or 'simulation_seconds'
- Minimum greater than maximum causes undefined filter behavior
- Payment of 0.01 USDC not completed results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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