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Simulation Caches — Numeric Row Ordering + Trailing Mean Series
x402
Simulation Caches — Numeric Row Ordering + Trailing Mean 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).
Computes numeric row ordering and trailing mean series for simulation cache records (cache_gb, simulation_seconds) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean 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
Returns two analytical reports for the supplied simulation cache rows: (1) numeric row ordering of records ranked by the selected field, and (2) a trailing mean series computed over the specified window size for cache_gb or simulation_seconds — both generated locally from supplied data with no external lookups.
Example use cases
Cache growth trend analysis
“I have 150 simulation cache records with cache_gb and simulation_seconds fields — can you rank them numerically and compute a trailing mean series for cache_gb using a window of 5 so I can spot growth trends?”
Simulation duration rolling average
“Run the trailing mean and row ordering reports on my simulation dataset — I want to look at the simulation_seconds field with a window of 4 across these records grouped by asset_group.”
Asset group cache comparison
“I need to numerically order and compute a rolling 3-window trailing mean for these 80 simulation cache rows so I can compare cache_gb patterns across my different asset groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-115?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 simulation cache records and need both a numeric ordering report and a trailing mean series computed from your own supplied data — no external data source, live lookup, or prediction required. Ideal for offline analytical workflows where you need statistical smoothing (rolling averages) and rank ordering of cache_gb or simulation_seconds fields at minimal cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row supplied returns validation error
- More than 200 rows submitted exceeds maximum and is rejected
- Window size larger than the number of rows may produce incomplete trailing means
- Invalid date format (not YYYY-MM-DD) triggers schema validation error
- Missing required fields (row_id, cache_gb, simulation_seconds) cause row rejection
- Null values in the selected numeric field may affect ordering and mean calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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