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Save Files Analytics — Category Frequencies + IQR Outlier Flags
x402
Save Files Analytics — Category Frequencies + IQR Outlier Flags 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 save file records (save_kb, write_ms) to produce category frequency distributions and IQR-based outlier flags for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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 analytical reports: (1) a category frequency table showing how often each game_area value appears across the supplied rows, and (2) IQR-based outlier flags for the selected numeric field (save_kb or write_ms), identifying which rows fall outside the interquartile range bounds. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Detect outlier save sizes in game telemetry
“Here are 50 game save records from our telemetry system — can you analyze the save_kb field, show me how frequently each game_area appears, and flag any rows with save sizes that are outliers based on IQR?”
Identify slow write operations by area
“I have game save logs across multiple areas and want to know: which areas appear most often, and are there any rows where write_ms is suspiciously high based on IQR outlier detection? Here are my 120 records.”
QA check on save file dataset
“Before I process this batch of 80 game save records, can you run a quick frequency count of game areas and flag any rows where save_kb looks like an outlier using IQR — I want to catch data quality issues early.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-107?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have game save file telemetry data (up to 200 rows) and need both a categorical frequency breakdown by game area AND IQR-based statistical outlier detection on numeric save metrics (save_kb or write_ms) in a single $0.01 call. Prefer this over generic analytics tools when you specifically need these two combined local reports without any external data enrichment or prediction.
Side effects
- Fewer than 1 row supplied — minimum input requirement not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, game_area, date, save_kb, write_ms) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric fields out of accepted range (±1 trillion)
- Field enum value not one of 'save_kb' or 'write_ms'
- Payment not completed via x402 protocol — endpoint requires 0.01 USDC per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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