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Save Files Record Quality Audit + Daily Sum Series
x402
Save Files Record Quality Audit + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs two local analytical reports on save-file metrics (save_kb, write_ms): a record quality audit and a daily sum time series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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 independent analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or schema violations across the submitted rows; and (2) a daily sum series aggregating the selected numeric field (save_kb or write_ms) by date. Both reports are computed locally without external lookups.
Example use cases
Game save size daily rollup
“I have 120 rows of game save logs with dates, game areas, save_kb, and write_ms values. Can you give me a daily sum series for save_kb so I can see how total save size grows over time?”
Save record quality audit for QA team
“Can you run a record quality audit on these 80 game save records? I want to find any rows with missing or out-of-range values in save_kb or write_ms before we send the data upstream.”
Write time aggregation by day
“I need a daily sum series for write_ms across these 150 save file records — each row has a row_id, game_area, date, and both save_kb and write_ms. Use write_ms as the field to aggregate.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of game save file records and need both a data quality audit and a daily sum aggregation in a single low-cost call ($0.01 USDC). It is ideal for offline/local analytical processing without any live lookup, prediction, or external data enrichment. Prefer it over general analytics platforms when the task is specifically scoped to save file metrics (save_kb, write_ms) across game areas and dates.
Side effects
- Exceeding 200 rows results in rejection or truncation
- Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- Numeric values outside allowed range cause errors
- Empty rows array is rejected (minItems: 1)
- Invalid field enum value (anything other than save_kb or write_ms) causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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