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Simulation Caches — Record Quality Audit + Exact Row Deduplication + Daily Sum Series
x402
Simulation Caches — Record Quality Audit + Exact Row Deduplication + 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 three local analytical reports on simulation cache data: a record quality audit, exact row deduplication, and a daily sum time series — all from supplied rows, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series 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: (1) a record quality audit flagging missing, malformed, or out-of-range values in the supplied rows; (2) an exact row deduplication report identifying and removing identical records; and (3) a daily sum time series aggregating the selected numeric field (cache_gb or simulation_seconds) by date. All reports are computed locally from the supplied data with no external lookups.
Example use cases
Cache data quality check before pipeline run
“Before we kick off the next simulation pipeline, can you audit these cache records for data quality issues, deduplicate any exact duplicate rows, and show me a daily sum of cache_gb? I have about 150 rows with row_id, asset_group, date, cache_gb, and simulation_seconds.”
Daily simulation usage rollup by group
“I need a daily sum series for simulation_seconds across these simulation cache records — can you also run a quality audit and deduplicate the rows first? Here are the records with asset_group, date, row_id, cache_gb, and simulation_seconds fields.”
Deduplication report for cache dataset reconciliation
“We're reconciling our simulation cache datasets and need to know which rows are exact duplicates, get a quality audit on the records, and see daily totals for cache_gb. Can you run all three reports on these 80 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-215?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records with cache_gb and simulation_seconds fields and need three analytical operations in a single low-cost call: data quality auditing, exact deduplication, and daily sum aggregation. It is ideal when you want bundled local analytics without external lookups, predictions, or professional assessments, and when cost efficiency ($0.01 for all three reports) matters over real-time or live data enrichment.
Side effects
- Exceeding 200 rows results in rejection or truncation
- Rows missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Numeric fields outside allowed range (-1e12 to 1e12) are rejected
- Empty rows array returns an error
- Selecting a field value other than 'cache_gb' or 'simulation_seconds' is invalid
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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