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Simulation Caches — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Simulation Caches — Record Quality Audit + String Normalisation + Numeric Row Ordering 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 supplied simulation cache records: data quality audit, string normalisation, and numeric row ordering by cache_gb or simulation_seconds.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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 missing, null, or out-of-range values in cache_gb and simulation_seconds; (2) normalised string representations of asset_group and other string fields; (3) rows reordered numerically by the selected field (cache_gb or simulation_seconds). All computed locally with no external lookups.
Example use cases
Simulation cache data quality check
“I have a batch of simulation cache records with asset groups and cache sizes in GB — can you audit them for data quality issues, normalise the asset group strings, and sort the rows by cache_gb? Here are my rows: row-1, group-a, 2026-10-01, 10 GB, 1s; row-2, group-b, 2026-10-02, 20 GB, 2s; row-3, group-a, 2026-10-03, 15 GB, 3s.”
Ordering simulation runs by duration
“I need to sort my simulation cache records numerically by simulation_seconds and also get a quality audit and string normalisation report — I've got about 50 rows with cache_gb and simulation_seconds values, can you run all three reports?”
Cleaning asset group labels in cache logs
“My simulation cache logs have inconsistent asset_group label formatting — can you normalise those strings, flag any bad or missing cache_gb values in a quality audit, and order the rows numerically by cache_gb? I'll send you up to 100 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records and need a bundled trio of data hygiene operations — quality auditing, string normalisation, and numeric ordering — without making external API calls or requiring live data. It is cost-effective at $0.01 for all three reports simultaneously, and is ideal for pre-processing simulation datasets before downstream analysis.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Field selector not in enum ['cache_gb','simulation_seconds'] causes error
- Null values in numeric fields are accepted but flagged in quality audit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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