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Simulation Caches — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering
x402
Simulation Caches — Record Quality Audit + Exact Row Deduplication + 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 independent analytical reports on simulation cache records: a data quality audit, exact duplicate detection, and numeric ordering — all against user-supplied rows, with no external data access.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + 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
Returns three independent reports for the submitted simulation cache rows: (1) a record quality audit highlighting issues such as nulls, out-of-range values, or format problems in cache_gb and simulation_seconds; (2) an exact row deduplication report identifying identical records; and (3) a numerically ordered version of the rows sorted by the chosen field (cache_gb or simulation_seconds). Up to 200 rows processed per call.
Example use cases
Pre-pipeline simulation data cleanup
“Before I load my simulation cache data into the pipeline, can you audit the record quality, flag any exact duplicate rows, and sort everything by cache_gb? Here are my 50 rows with row_id, asset_group, date, cache_gb, and simulation_seconds fields.”
Deduplication check for simulation runs
“I suspect my simulation team submitted some duplicate cache records — can you run exact row deduplication on this dataset and also give me a quality audit and numeric ordering by simulation_seconds for these records?”
Audit simulation cache for reporting
“I need to prepare a simulation cache report: please audit data quality, identify any exact duplicate entries, and order the rows by cache_gb for this batch of 120 simulation records across several asset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have simulation cache tabular data (with cache_gb and simulation_seconds columns) and need all three operations — quality auditing, deduplication, and numeric ordering — in a single low-cost call. It is best suited for pre-processing or validation workflows where no external data, predictions, or live lookups are needed. At $0.01 USDC for three reports on up to 200 rows, it is cost-effective for batch data hygiene tasks on simulation cache datasets specifically.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, cache_gb, asset_group, simulation_seconds) causes rejection
- Dates not matching YYYY-MM-DD pattern are rejected
- Invalid field enum value (not cache_gb or simulation_seconds) causes an error
- Empty rows array is rejected
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are flagged or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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