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Save Files Analytics — Exact Row Deduplication + Grouped Numeric Summary
x402
Save Files Analytics — Exact Row Deduplication + Grouped Numeric Summary 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).
Deduplicates exact rows and produces a grouped numeric summary for game save-file records (save_kb, write_ms) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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 analytical reports: (1) a deduplicated version of the input rows with exact duplicate rows removed, and (2) a grouped numeric summary (e.g. count, mean, min, max) of the selected numeric field (save_kb or write_ms) broken down by game_area. No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Deduplicating game save logs
“I have a CSV export of game save events with row_id, game_area, date, save_kb, and write_ms — some rows are exact duplicates from a logging bug. Can you remove the exact duplicates and give me a grouped numeric summary of save_kb by game_area?”
Comparing write speed across game zones
“I want to understand write performance across different game areas. Here are 150 save file records with row_id, game_area, date, save_kb, and write_ms — please deduplicate any exact repeats and give me a grouped numeric summary for write_ms by game_area.”
Auditing save file size by area
“Can you take these game save records — up to 200 rows each with a row_id, game_area, date, save_kb, and write_ms — deduplicate any identical rows, then summarize save_kb grouped by game_area so I can see which areas have the largest saves?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-040?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have game save file records with save_kb and write_ms metrics and need both exact-duplicate removal and a grouped numeric summary in a single call. It is best suited for small-to-medium datasets (up to 200 rows) where offline, local analytical processing is sufficient and no live lookup, prediction, or external enrichment is needed. Prefer it over general-purpose analytics tools when you specifically need the save-file domain schema (row_id, game_area, date, save_kb, write_ms) and want both reports bundled at a flat $0.01 USDC rate.
Side effects
- Input array is empty or missing required fields (row_id, game_area, date, save_kb, write_ms) — returns validation error
- More than 200 rows submitted — request rejected with row limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'save_kb' or 'write_ms' — enum validation error
- All rows are duplicates — deduplication report returns a single unique row
- Numeric fields contain nulls — summary may return null statistics for affected groups
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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