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Simulation Caches — Record Quality Audit + Date by Category Pivot
x402
Simulation Caches — Record Quality Audit + Date by Category Pivot 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 two local analytical reports on simulation cache records: a record quality audit and a date-by-category pivot, for up to 200 rows of cache_gb and simulation_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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 independent analytical reports: (1) a record quality audit flagging completeness, validity, and anomaly issues per row across cache_gb and simulation_seconds fields; (2) a date-by-category pivot table summarizing the selected field (cache_gb or simulation_seconds) grouped by date and asset_group. Both reports are computed locally without external lookups.
Example use cases
Cache storage quality check
“I have a dataset of simulation cache records with cache sizes and run times across different asset groups — can you audit the record quality and flag any missing or problematic values in the cache_gb field?”
Date-grouped simulation pivot
“Take these 120 rows of simulation cache data with dates and asset groups and give me a pivot showing cache_gb totals broken down by date and category, plus a quality audit of the records.”
Multi-group cache trend analysis
“I need two reports on my simulation cache records: first a quality audit to spot bad data, and second a date-by-category pivot on simulation_seconds so I can see how each asset group's simulation time varies day by day — I have about 80 rows to analyze.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of simulation cache records (cache_gb, simulation_seconds) and need both a data quality audit and a date-by-category pivot in a single cheap call ($0.01 USDC). It is ideal for offline/local analytics with no external dependencies, real-time lookups, or side effects. Prefer it over general-purpose analytics tools when you specifically need these two paired reports on simulation cache-domain data.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes row rejection or validation failure
- Unrecognized field enum value (not cache_gb or simulation_seconds) causes an error
- All-null values for the selected field may produce empty pivot output
- row_id missing or empty causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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