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Save Files Analyzer — Duplicate Key Report + Base-100 Series
x402
Save Files Analyzer — Duplicate Key Report + Base-100 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 game save file records to produce a duplicate row_id report and a base-100 indexed series for a chosen numeric metric (save_kb or write_ms), up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Duplicate key report + Base-100 series: Duplicate key report + Base-100 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 duplicate key report listing any row_ids that appear more than once in the submitted records, and (2) a base-100 indexed series for the chosen numeric field (save_kb or write_ms), where the value at the specified base_index row is set to 100 and all others are scaled proportionally. Covers up to 200 submitted rows. No external lookups or live data are involved.
Example use cases
Audit save logs for duplicate entries
“Here are my game save file records with row IDs and dates — can you check these for any duplicate row_id values and also index the save_kb values as a base-100 series starting from the first row?”
Normalize write times across game areas
“I've got save file data across different game areas and I want to see write_ms indexed to base 100 starting at row index 2, plus a report of any duplicate keys in the dataset.”
QA check on exported save file dataset
“Can you run a duplicate key report and a base-100 index on save_kb for this batch of up to 150 save file records I'm exporting from our game backend — I need both reports in one call?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have game save file records and need both a duplicate row_id audit and a base-100 normalized series for a numeric metric in a single low-cost call. It is ideal for data quality checks on exported save datasets combined with relative indexing, without requiring any external data sources or live lookups. Prefer this over general-purpose analytics when your data fits the game save schema (save_kb, write_ms, game_area, date) and you need both reports together for under $0.01.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, game_area, date, save_kb, write_ms) — error
- base_index out of bounds for the submitted row count — error
- Null numeric values in the base_index row may cause division errors in the base-100 calculation
- Invalid field enum value (not save_kb or write_ms) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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