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Simulation Caches — Exact Row Deduplication + Daily Sum Series
x402
Simulation Caches — 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 2026-10-21).
Deduplicates exact duplicate rows and computes daily sum time series for simulation cache records (cache_gb, simulation_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Exact row deduplication + Daily sum series: Exact row deduplication + 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
Two analytical reports: (1) a deduplicated set of rows with exact duplicate entries removed, and (2) a daily sum time series for the selected numeric field (cache_gb or simulation_seconds), computed from the supplied rows. No external lookups or predictions are made.
Example use cases
Deduplicate simulation pipeline cache logs
“I've got a batch of simulation cache records that may have exact duplicate rows — can you deduplicate them and also show me the daily sum of cache_gb grouped by date?”
Daily usage totals for simulation seconds
“Here are 150 rows of simulation cache data with dates and simulation_seconds values — please remove any exact duplicates and compute the daily total simulation_seconds across all entries.”
Cache size trend analysis by asset group
“I need to clean up my simulation cache dataset by stripping out exact duplicate rows, and I also want a daily sum time series for cache_gb so I can see how storage usage changed day by day — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-044?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have simulation cache data (with cache_gb and simulation_seconds fields) and need two simultaneous local analytical operations — exact row deduplication and a daily sum time series — without requiring any live data lookup, external enrichment, or prediction. It is cost-effective at $0.01 USDC for both reports on up to 200 rows.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, asset_group) cause row rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric fields out of supported range cause validation errors
- Empty rows array returns no meaningful report output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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