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Simulation Caches — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Simulation Caches — Secondary-Measure Weighted Mean + 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 2026-10-22).
Computes a secondary-measure weighted mean and fills missing values explicitly 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 — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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) the secondary-measure weighted mean of the selected field (cache_gb or simulation_seconds) using the other measure as weights, and (2) a missing-value filled version of the dataset using the specified strategy (zero, mean, or median). Results are computed locally with no external data lookup.
Example use cases
Weighted cache size analysis by group
“I have daily simulation cache readings across two asset groups for October — cache sizes range from 10 to 30 GB with run times of 1 to 4 seconds. Can you compute the weighted mean of cache_gb using simulation_seconds as the weight, and fill any missing cache_gb values with median?”
Missing simulation seconds backfill
“Some of my simulation records are missing simulation_seconds values. I have about 150 rows covering group-a and group-b. Can you fill those nulls using the mean strategy and then compute the weighted mean of simulation_seconds weighted by cache_gb?”
Cache efficiency review across asset groups
“I want to review simulation efficiency across my asset groups for Q4 — I have up to 200 rows of cache_gb and simulation_seconds data. Please fill missing cache_gb values with zero and give me the secondary-measure weighted mean report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-08-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular simulation cache records with cache_gb and simulation_seconds columns and need both a weighted mean (using one measure to weight the other) and explicit missing-value imputation in a single API call. Ideal for small to medium datasets (up to 200 rows) where no external data enrichment or prediction is needed — purely local analytical computation on supplied data.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Invalid enum value for 'field' or 'method' — schema error
- All values for the weighted field are null — weighted mean may be undefined or NaN
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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