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Save Files Analytics — Grouped Numeric Summary + Numeric Row Ordering
x402
Save Files Analytics — Grouped Numeric Summary + 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 2026-11-04).
Analyzes save file records (save_kb, write_ms) by producing a grouped numeric summary and a numerically ordered row report from supplied data rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + 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 grouped numeric summary with aggregate statistics (e.g. mean, min, max, count) for the selected field (save_kb or write_ms) broken down by game_area, and (2) all submitted rows sorted in numeric order by the selected field. Up to 200 rows supported per call.
Example use cases
Game area save size comparison
“I have save file records from two game areas across October — can you group them by game_area and give me a numeric summary of save_kb, plus sort all the rows by save_kb so I can see the ranking? Here are the rows: row-1 (2026-10-01, group-a, save_kb=10, write_ms=1), row-2 (2026-10-02, group-b, save_kb=20, write_ms=2), row-3 (2026-10-03, group-a, save_kb=15, write_ms=3), row-4 (2026-10-04, group-b, save_kb=30, write_ms=4).”
Write latency audit by area
“Can you analyze these save file records and give me a grouped summary of write_ms by game_area, plus order all the rows numerically by write_ms? Rows: row-1 (2026-10-01, group-a, save_kb=10, write_ms=1), row-2 (2026-10-02, group-b, save_kb=20, write_ms=2), row-3 (2026-10-03, group-a, save_kb=15, write_ms=3), row-4 (2026-10-04, group-b, save_kb=30, write_ms=4).”
Identifying outlier save events
“Here are 6 save file records from our game across two areas — please group them by game_area and summarize save_kb stats, then rank all rows by save_kb so I can spot any unusually large saves: row-1 (2026-10-01, group-a, save_kb=10, write_ms=5), row-2 (2026-10-02, group-b, save_kb=500, write_ms=80), row-3 (2026-10-03, group-a, save_kb=12, write_ms=6), row-4 (2026-10-04, group-b, save_kb=480, write_ms=75), row-5 (2026-10-05, group-a, save_kb=11, write_ms=5), row-6 (2026-10-06, group-b, save_kb=490, write_ms=78).”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-087?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have game save file records with save_kb and write_ms metrics and need both a grouped aggregate summary by game area and a numerically ordered ranking in a single call. It is purpose-built for save file analytics and bundles two analytical reports for $0.01 USDC, making it cost-effective for lightweight local analytics without needing external lookup or live data.
Side effects
- Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation error
- Date not matching YYYY-MM-DD pattern is rejected
- More than 200 rows submitted exceeds the limit
- Numeric values outside allowed range are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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