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Save Files Record Quality Audit + Date by Category Pivot
x402
Save Files Record Quality Audit + Date by Category Pivot 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 up to 200 game save-file records, producing two local analytical reports: a record quality audit and a date-by-category pivot on save_kb or write_ms metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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 structured analytical reports: (1) a record quality audit flagging completeness, nulls, and anomalies across the supplied rows, and (2) a date-by-category pivot table aggregating the chosen metric (save_kb or write_ms) by date and game_area. Both are computed locally from the supplied data with no external lookups.
Example use cases
Game save data quality check
“I have 150 rows of game save records with row IDs, game areas, dates, save sizes in KB, and write times in ms — can you run a record quality audit on them and also pivot the save_kb values by date and game area so I can see any patterns?”
Write latency pivot by game zone
“Run a date-by-category pivot on write_ms for my 80 game save records — each row has a row_id, game_area, date, save_kb, and write_ms — and also give me a quality audit so I know if any rows are missing or malformed.”
Pre-release save system validation
“Before our game ships, I want to audit 200 rows of save file test data for record quality issues and see a pivot of save_kb broken down by game_area and date — the rows include row_id, game_area, date, save_kb, and write_ms fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-017?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 record quality audit and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for game developers or analysts who want fast, offline analytical summaries without live lookups or external data enrichment. Prefer it over general-purpose analytics when your data has the specific save_kb/write_ms schema and you need both reports bundled together.
Side effects
- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a schema rejection
- Null numeric values are accepted but may reduce pivot meaningfulness
- Invalid field enum value (not save_kb or write_ms) causes a request error
- Payment of 0.01 USDC must accompany the request; failure to pay returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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