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Save Files Analytics — Duplicate Key Report + Daily Sum Series
x402
Save Files Analytics — Duplicate Key Report + 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 2026-10-30).
Analyzes up to 200 save-file records to produce a duplicate key report and a daily sum time series for save_kb or write_ms metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Duplicate key report + Daily sum series: Duplicate key report + 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 reports: (1) a duplicate key report identifying any rows sharing the same row_id, and (2) a daily sum time series aggregating the chosen metric (save_kb or write_ms) by date — both computed locally from the supplied row data, up to 200 rows.
Example use cases
Detect duplicate save record keys
“I have a batch of game save log entries with row IDs, dates, game areas, save_kb, and write_ms values — can you check them for any duplicate row IDs and also give me daily totals of save_kb?”
Daily write-time trends for game areas
“Run a duplicate key report and daily sum series on these 150 save file records and focus the daily aggregation on write_ms so I can see how write times trend over time.”
Data quality audit before import
“Before I import these save file records into our database, can you scan them for duplicate keys and show me the daily save_kb totals to make sure the data looks clean?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-060?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and a daily sum time series from game save file data in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical passes on small-to-medium datasets (up to 200 rows) where no live data lookup or external service is needed. Prefer it over general-purpose analytics tools when you specifically need the dual-report format (duplicate detection + time series) on save_kb or write_ms fields.
Side effects
- Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation errors
- Submitting more than 200 rows exceeds the maximum and will be rejected
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Invalid field enum value (not save_kb or write_ms) will be rejected
- Empty rows array (minItems: 1 violated) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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