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Save Files IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Save Files IQR Outlier Flags + Secondary-Measure Weighted Mean 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 save file records (save_kb, write_ms) to produce IQR-based outlier flags and a secondary-measure weighted mean, returning two statistical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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) IQR outlier flags indicating which rows have save_kb or write_ms values outside the interquartile range, and (2) a secondary-measure weighted mean computed across the supplied rows — both based solely on the input data with no external lookups.
Example use cases
Detect bloated save files in game build
“I have 120 save file records from our latest game build with row IDs, dates, game areas, save sizes in KB, and write times in ms — can you flag which ones are IQR outliers in save_kb and also compute the secondary-measure weighted mean?”
Audit write latency anomalies by game area
“Run an IQR outlier analysis on the write_ms field for these 80 save file records across our game areas, and include the secondary-measure weighted mean so I can see where latency is skewed.”
QA save performance across game regions
“I want to QA our save system — here are 200 rows of save file data with save_kb and write_ms per game area and date. Flag any write_ms outliers using IQR and give me the weighted mean report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of game save file records and need both IQR outlier detection and a secondary-measure weighted mean in a single paid call. Ideal for game developers auditing save system performance without needing live prediction, external lookup, or professional assessment — just deterministic local statistical analysis on supplied data.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum batch limit
- Missing required fields (row_id, game_area, date, save_kb, write_ms) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in both numeric fields may reduce statistical reliability
- Payment not included or insufficient USDC — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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