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Simulation Caches Record Quality Audit and Exact Row Deduplication
x402
Simulation Caches Record Quality Audit and Exact Row Deduplication 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).
Audits data quality and removes exact duplicate rows from supplied simulation cache records (cache_gb, simulation_seconds), producing two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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
Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and formatting anomalies in cache_gb and simulation_seconds fields; (2) an exact row deduplication report identifying and removing fully duplicated rows from the supplied dataset. Both reports are generated locally from the submitted data with no external lookups.
Example use cases
Pre-pipeline simulation cache cleanup
“Before I load this simulation cache dataset into our pipeline, can you audit the data quality and flag any exact duplicate rows? I have about 150 records with cache_gb and simulation_seconds per asset group by date that need two clean reports.”
Validating exported cache metrics
“I just exported simulation cache metrics for group-a and group-b across October — can you check these records for quality issues and deduplicate any exact repeated rows? There are around 80 rows with cache_gb and simulation_seconds fields.”
Spotting bad data in simulation runs
“Can you run a quality audit on my simulation cache run data and also find any exact duplicate entries? I've got 50 rows with row IDs, asset groups, dates, cache sizes in GB, and simulation seconds that need both reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-002?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and exact duplicate detection on simulation cache records (cache_gb, simulation_seconds) in a single low-cost call. It is ideal for offline/batch validation of up to 200 rows without requiring external data lookups or predictions. Prefer this over general-purpose data tools when your data specifically contains simulation cache metrics organized by asset group and date.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, asset_group, date, cache_gb, or simulation_seconds) — validation error
- Malformed date format (not YYYY-MM-DD) — schema validation failure
- Empty rows array (minItems:1 not met) — request rejected
- Numeric values outside allowed range — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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