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Save Files Analyzer — Category Frequencies + Secondary-Measure Weighted Mean
x402
Save Files Analyzer — Category Frequencies + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes category frequencies and a secondary-measure weighted mean for save file records (save_kb, write_ms) across up to 200 rows using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean 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
Two analytical reports: (1) a category frequency table showing how often each game_area value appears in the submitted rows, and (2) a weighted mean of the selected numeric field (save_kb or write_ms), weighted by the secondary measure. Both are computed locally without external lookups.
Example use cases
Save size distribution by game zone
“I have 50 save file records across different game areas — can you tell me how frequently each game_area appears and the weighted mean of save_kb using write_ms as the weight? I want to know which zones are saving the most data on average.”
Write latency weighted average per area
“Can you run a category frequency count and a write_ms weighted mean on my game save dataset? I'm tracking 120 save events across group-a, group-b, and group-c and want to understand write performance by area.”
Game save performance audit
“I've got a batch of game save logs with save_kb and write_ms values — can you compute how many saves fall into each game_area category and what the weighted average save size is, weighted by write time? There are about 80 rows total across dates in October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-109?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have game save file records with both a categorical dimension (game_area) and two numeric measurements (save_kb, write_ms), and you need both a frequency distribution of categories and a weighted mean statistic in a single low-cost call. Ideal for lightweight game analytics pipelines where no external data enrichment or live lookup is needed.
Side effects
- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation failure
- Invalid date format (not YYYY-MM-DD) rejected by schema
- Null values for both numeric fields may produce undefined weighted mean
- Payment of 0.01 USDC not completed blocks request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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