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Simulation Caches — String Normalisation + Trailing Mean Series
x402
Simulation Caches — String Normalisation + 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 2026-10-21).
Runs string normalisation and trailing mean series analysis on supplied simulation cache records (cache_gb, simulation_seconds) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — String normalisation + Trailing mean series: String normalisation + 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
Two analytical reports: (1) a string normalisation report on asset_group labels across the supplied rows, and (2) a trailing mean series for the chosen numeric field (cache_gb or simulation_seconds) computed with the specified window size, covering up to 200 input rows.
Example use cases
Rolling average for cache GB usage
“Here are my simulation cache records for October — row IDs row-1 through row-4, asset groups group-a and group-b, cache_gb readings of 10, 20, 15, 30, dates 2026-10-01 to 2026-10-04. Please normalize the asset group strings and compute a trailing mean series on cache_gb with a window of 3.”
Simulation duration trend analysis
“I've got 50 rows of simulation cache data with dates, row IDs, asset groups, and simulation_seconds values. Can you clean up the asset group label strings and compute a rolling mean series on simulation_seconds using a window size of 5?”
Multi-group cache size smoothing
“I have simulation cache records across two asset groups over 30 days — can you normalize the group name strings and produce a trailing mean series with window 7 on the cache_gb field so I can spot trends in cache usage over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular simulation cache records with asset group labels and need both a string normalisation pass on categorical fields and a rolling/trailing mean time series for a numeric metric (cache_gb or simulation_seconds), all in a single low-cost call with no external lookups or predictions required.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected
- Window size larger than number of rows — trailing mean may produce nulls or partial results
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) — request rejected
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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