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Simulation Caches — Category Frequencies + Explicit Missing-Value Fill
x402
Simulation Caches — Category Frequencies + Explicit Missing-Value Fill 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).
Computes category frequency distributions and fills missing values (cache_gb or simulation_seconds) using zero, mean, or median imputation for up to 200 simulation cache records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Simulation caches — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill 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: (1) a category frequency table showing how often each asset_group value appears across the submitted rows, and (2) a filled dataset where null values in the specified numeric field (cache_gb or simulation_seconds) have been replaced using the chosen imputation method (zero, mean, or median). Both reports are computed locally with no external lookups.
Example use cases
Audit asset group distribution in simulation logs
“I have 150 simulation cache rows with asset_group labels and I want to see how frequently each group appears — can you run a category frequency report on them and fill any missing cache_gb values with the median?”
Clean nulls in simulation seconds data
“Some of my simulation cache records are missing simulation_seconds values — please fill those nulls using mean imputation and also give me a category frequency breakdown of the asset groups across all 80 rows.”
Zero-fill missing cache sizes for reporting
“I need to prep my simulation cache dataset of 60 rows for a report — can you zero-fill any missing cache_gb values and show me how the asset groups are distributed by frequency?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-112?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have simulation cache records (with cache_gb and simulation_seconds fields) and need both a category frequency breakdown of asset groups AND missing-value imputation in a single low-cost call. It is ideal for lightweight, offline analytical preprocessing of up to 200 rows without needing a full data pipeline or external ML service. Not suitable for live prediction, forecasting, or datasets exceeding 200 rows.
Side effects
- Rows array empty or missing — returns validation error
- More than 200 rows submitted — rejected, maxItems exceeded
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value not in enum [cache_gb, simulation_seconds] — rejected
- Method value not in enum [zero, mean, median] — rejected
- Numeric values outside allowed range — validation error
- Payment not included or insufficient USDC — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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