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Simulation Caches — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Simulation Caches — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean 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 local analytical reports on simulation cache records: record quality audit, string normalisation, and secondary-measure weighted mean, 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 + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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 for the submitted simulation cache rows: (1) a record quality audit flagging missing, invalid, or anomalous values; (2) a string normalisation report cleaning asset_group and other string fields; and (3) a secondary-measure weighted mean of the selected field (cache_gb or simulation_seconds), all computed locally without external lookups.
Example use cases
QA check on simulation cache pipeline
“I've got a batch of simulation cache records with cache_gb and simulation_seconds for a few asset groups across the last quarter — can you audit them for quality issues, normalise the asset group strings, and give me a weighted mean of cache_gb using simulation_seconds as the weight?”
Clean asset group labels in render data
“My simulation dataset has inconsistent capitalisation and spacing in the asset_group field. Can you run a string normalisation report on these records alongside a quality audit so I can see what needs fixing?”
Weighted performance summary for simulation runs
“I need a secondary-measure weighted mean for our simulation_seconds values, weighted by cache_gb, across about 150 rows of cache data tagged by date and asset group — can you produce that report along with the standard quality audit?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined local analytical operations — quality audit, string normalisation, and weighted mean — on simulation cache records (cache_gb, simulation_seconds) in a single low-cost call. It is ideal when you have up to 200 rows of simulation data and want bundled reporting without external API dependencies, live data lookups, or professional assessments. Prefer alternatives if you need real-time simulation metrics, predictions, or more than 200 rows processed at once.
Side effects
- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside allowed range (-1e12 to 1e12) fail schema validation
- Empty rows array (minItems:1 not met) returns error
- Invalid field enum value (not cache_gb or simulation_seconds) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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