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Simulation Caches — Record Quality Audit + Daily Sum Series
x402
Simulation Caches — Record Quality Audit + Daily Sum Series 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 a record quality audit and daily sum series report on simulation cache data (cache_gb, simulation_seconds) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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 independent analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or malformed records across the submitted rows; and (2) a daily sum series aggregating the selected numeric field (cache_gb or simulation_seconds) by date, showing total values per day.
Example use cases
Daily cache usage trend analysis
“I have a month's worth of simulation cache records with dates, asset groups, cache_gb and simulation_seconds. Can you audit the data quality and show me a daily sum series for cache_gb so I can see total cache usage per day?”
Simulation runtime data quality check
“Can you audit the quality of these simulation records and give me a daily sum of simulation_seconds? I want to spot any bad rows and see how total simulation time adds up across each date — here are about 80 rows with row IDs, asset groups, dates, cache_gb and simulation_seconds.”
Multi-group cache metrics review
“I've got simulation cache data across two asset groups — group-alpha and group-beta — for the past quarter. Run a record quality audit and a daily sum series on the cache_gb field for all 150 rows so I can review completeness and daily totals.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have simulation cache tabular data (with cache_gb and simulation_seconds fields) and need both a data quality audit and a daily sum aggregation in a single call. It is especially useful for datasets up to 200 rows where you want two complementary reports — quality and temporal aggregation — without building custom analytical pipelines. Not suitable for live monitoring, predictions, or datasets exceeding 200 rows.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field selector not one of 'cache_gb' or 'simulation_seconds' — enum validation error
- Empty rows array (minItems: 1 not met) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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