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Simulation Caches — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Simulation Caches — Record Quality Audit + String Normalisation + 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).
Runs three analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of simulation cache data (cache_gb, simulation_seconds) using local engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied simulation caches records (cache_gb, simulation_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging completeness, consistency, and validity issues; (2) a string normalisation report cleaning and standardising text fields like asset_group; and (3) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across the submitted rows.
Example use cases
Data quality check on cache records
“I have a batch of simulation cache records with cache_gb and simulation_seconds values and I'm worried some rows have missing or malformed data — can you run a record quality audit and normalise the asset_group strings across all of them?”
Correlation between cache size and simulation time
“I want to know if there's a meaningful correlation between cache size in GB and how long simulations take in seconds across these 200 rows of data — can you run the two-measure correlation report for me?”
Pre-pipeline data validation for simulation logs
“Before I load these simulation cache logs into our pipeline, can you check record quality, clean up the string fields, and tell me how cache_gb and simulation_seconds relate to each other across the dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, cost-efficient set of three analytical passes — quality audit, string normalisation, and correlation — on simulation cache data in a single $0.01 call. Ideal for pre-pipeline validation of simulation logs or ad hoc data health checks on datasets up to 200 rows. Not suitable for live prediction, real-time monitoring, or datasets exceeding 200 rows.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause row-level or request-level rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null values in both numeric measures may degrade or invalidate the correlation report
- Payment not included or insufficient USDC causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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