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Simulation Caches — Record Quality Audit + Two-Measure Correlation
x402
Simulation Caches — Record Quality Audit + Two-Measure Correlation 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 computes Pearson correlation between cache_gb and simulation_seconds for up to 200 supplied simulation cache records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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 analytical reports: (1) a record quality audit identifying missing values, out-of-range entries, and data completeness issues per row; and (2) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Simulation dataset pre-processing check
“Before I load this simulation cache dataset into my pipeline, can you audit its quality and check the correlation between cache_gb and simulation_seconds? I have 150 rows covering multiple asset groups from 2026-10-01 through 2026-12-31.”
Cache sizing vs runtime relationship analysis
“I want to understand whether larger cache sizes actually lead to longer simulation runtimes. Can you run a correlation between cache_gb and simulation_seconds across my 80-row simulation log, grouped by asset groups like group-a and group-b?”
Data quality gate before reporting
“We're about to publish a simulation performance report but I'm worried about bad data. Can you do a record quality audit on our simulation cache entries — about 60 rows — and flag anything that looks missing or out of range?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a bivariate correlation analysis on simulation cache records in a single low-cost call. It is ideal for pre-processing validation before downstream analytics, or when you want to quantify the relationship between cache size and simulation runtime without building custom statistical pipelines. It works entirely on supplied data with no external dependencies.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) on any row
- Malformed date strings not matching YYYY-MM-DD pattern
- Non-numeric values in cache_gb or simulation_seconds fields
- All cache_gb or simulation_seconds values are null — correlation cannot be computed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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