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Save Files Analytics — Date×Category Pivot + Missing-Value Fill
x402
Save Files Analytics — Date×Category Pivot + 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 2026-10-30).
Pivots save-file metrics (save_kb, write_ms) by date and game_area category, with explicit missing-value imputation using zero, mean, or median fill strategies.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Date by category pivot + Explicit missing-value fill: Date by category pivot + 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 two analytical reports: (1) a date×game_area pivot table for the chosen metric field, and (2) the same dataset with explicit missing-value imputation applied using the selected fill method (zero, mean, or median). Covers up to 200 rows of supplied save file records with no external data lookups.
Example use cases
Game area save size comparison
“I have daily save file records for two game areas — group-a and group-b — across October 2026 with some missing save_kb entries. Can you pivot the data by date and game area and fill those gaps using the median?”
Write latency heatmap by category
“Pivot my write_ms data across dates and game areas so I can see which area had the slowest write times each day, and fill any missing cells with zero.”
QA check on sparse save records
“I've got a sparse dataset of game save records with lots of null save_kb values. Run a date-by-category pivot and fill the missing values using the mean so I can spot which game areas have incomplete coverage.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-189?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured game save-file records (with save_kb and write_ms columns) and need a date-by-category pivot table with controlled missing-value imputation — particularly when your dataset has up to 200 rows and you want two simultaneous analytical views (pivot + fill) for a flat $0.01 fee without needing any external data sources or live lookups.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Unrecognized fill method value outside zero/mean/median enum
- Missing required fields (row_id, game_area, date) causes row rejection
- All values null for a field makes mean/median fill undefined — may default to zero
- Malformed numeric values outside allowed range rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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