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Simulation Caches — Record Quality Audit + Category Frequencies
x402
Simulation Caches — Record Quality Audit + Category Frequencies 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).
Runs a record quality audit and category frequency analysis on simulation cache data (cache_gb, simulation_seconds) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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 issues such as missing values, nulls, or anomalies in cache_gb and simulation_seconds fields across the submitted rows, and (2) category frequency counts showing how often each asset_group value appears in the dataset. Both reports are generated locally without external lookups.
Example use cases
Audit simulation cache dataset quality
“I have a batch of simulation cache records with cache_gb and simulation_seconds values — can you audit them for quality issues like nulls or out-of-range values, and also tell me how frequently each asset_group appears? I'll send you up to 100 rows.”
Validate asset group category distributions
“Can you analyze this list of simulation cache entries and give me a frequency count of how often each asset_group shows up, alongside a quality report for the cache_gb and simulation_seconds fields? Here are the rows with dates ranging from 2025-01-01 to 2025-03-31.”
Pre-pipeline data quality check
“Before I load these simulation cache records into my pipeline, can you run a quick quality audit and category frequency check on them? I have about 80 rows with row_id, date, asset_group, cache_gb, and simulation_seconds that I need profiled.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-006?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit and category frequency analysis on simulation cache records (cache_gb, simulation_seconds) in a single cost-efficient call. Ideal for pre-pipeline validation of simulation datasets of up to 200 rows where no live external data, predictions, or real-time lookups are needed. The flat $0.01 USDC price for two reports makes it economical for routine dataset profiling tasks.
Side effects
- Empty rows array — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) on any row
- Numeric fields out of accepted range (±1,000,000,000,000)
- row_id exceeds 80 character maxLength
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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