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Save Files Analyzer — Category Frequencies & Numeric Row Ordering
x402
Save Files Analyzer — Category Frequencies & Numeric Row Ordering 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).
Analyzes game save file records by computing category frequencies for game areas and numeric row ordering for save_kb or write_ms fields, returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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 reports: (1) a category frequency table counting how many rows belong to each game_area value, and (2) a numeric row ordering of records sorted by the selected field (save_kb or write_ms), covering up to 200 input rows.
Example use cases
Save size ranking by game area
“I have a list of game save records with areas like 'dungeon', 'overworld', and 'menu', each with a save_kb value. Can you rank the rows by save_kb and tell me how often each game area appears in the dataset?”
Write performance audit
“I've got 150 save file log entries with write_ms timings per game area. Show me the category frequency for each game_area and order the rows from slowest to fastest by write_ms.”
Save data QA for game build
“Here are our QA save file records from the last sprint — each row has a date, game_area, save_kb, and write_ms. Give me the frequency count per game_area and sort the rows numerically by save_kb so I can spot outliers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-100?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quick, offline analytical summary of game save file records — specifically category frequency counts by game area and numeric ordering of rows by a save metric — without needing live lookups, predictions, or external data enrichment. Best suited for batch QA, debugging save performance, or summarizing save data distributions across up to 200 records for $0.01.
Side effects
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, game_area, date, save_kb, write_ms) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern mismatch error
- Numeric values outside allowed range — schema rejection
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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