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Simulation Caches — Record Quality Audit + String Normalisation + Equal-Width Histogram
x402
Simulation Caches — Record Quality Audit + String Normalisation + Equal-Width Histogram 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 on supplied simulation cache records: a record quality audit, string normalisation, and an equal-width histogram over cache_gb or simulation_seconds fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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
Returns three independent analytical reports: (1) a record quality audit flagging completeness, nulls, and anomalies across the supplied rows; (2) a string normalisation report standardising text fields such as asset_group; and (3) an equal-width histogram over the selected numeric field (cache_gb or simulation_seconds) with the specified number of bins. All reports are computed locally from the supplied data with no external lookups.
Example use cases
Data quality check before pipeline ingestion
“Before we load these simulation cache records into the pipeline, run a record quality audit, string normalisation, and a 5-bin histogram on the cache_gb field for these 50 rows — I need to catch nulls, bad strings, and see the distribution.”
Distribution analysis of simulation runtimes
“I have 150 simulation cache entries and I want a 20-bin equal-width histogram on simulation_seconds along with a quality audit and string normalisation report — can you run all three reports on my dataset?”
Routine QA for asset group cache data
“Run the three standard analytical reports — quality audit, string normalisation, and an equal-width histogram with 8 bins on cache_gb — on this week's simulation cache records for asset groups alpha and beta.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytical operations — record quality audit, string normalisation, and equal-width histogram — on simulation cache data (cache_gb, simulation_seconds) in a single cheap call. It is ideal for batch QA workflows on up to 200 rows where no live data lookup, prediction, or external action is needed. Prefer alternatives if you need only one of the three reports, require more than 200 rows, or need real-time enrichment from external sources.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level validation errors
- Bins value outside 1–30 range returns a validation error
- Missing required fields (row_id) causes row rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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