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Save Files Analytics — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Save Files Analytics — 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 2026-10-29).
Computes a secondary-measure weighted mean and fills missing values in save-file records (save_kb, write_ms) for up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied save files records (save_kb, write_ms). 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 2 analytical reports: (1) a secondary-measure weighted mean of the chosen field (save_kb or write_ms) across supplied rows, and (2) an explicit missing-value fill report showing how null entries were handled using the selected method (zero, mean, or median). Results are computed locally without external lookups.
Example use cases
Game save performance benchmarking
“I have 120 rows of save file data with save_kb and write_ms across different game areas. Can you compute the weighted mean of save_kb, filling any null values with the mean, and give me two analytical reports?”
Missing write-time data imputation
“My game telemetry dataset has some missing write_ms values across 80 save records from multiple game areas. Fill the gaps using median imputation and give me a weighted mean report on write_ms.”
Save size aggregation by game area
“I've got a batch of 200 game save records tagged by game_area with save_kb and write_ms columns — some have nulls. Run a secondary-measure weighted mean on save_kb with zero fill for missing values and produce both analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular game save-file records (save_kb, write_ms) and need both weighted mean aggregation weighted by a secondary measure AND explicit missing-value imputation in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where no live data lookup or external prediction is needed — purely local statistical computation.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation error
- Invalid date format (must match YYYY-MM-DD pattern)
- All values for selected field are null — weighted mean undefined
- Invalid enum value for 'field' or 'method' parameter
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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