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Save Files Record Quality Audit and IQR Outlier Flags
x402
Save Files Record Quality Audit and 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 2026-10-30).
Runs a record quality audit and IQR-based outlier detection on game save file metrics (save_kb, write_ms) for up to 200 supplied rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Record quality audit + IQR outlier flags: Record quality audit + 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 record quality audit identifying missing, invalid, or malformed values across the supplied rows, and (2) IQR-based outlier flags marking rows where the selected numeric field (save_kb or write_ms) falls outside the interquartile range bounds.
Example use cases
Game save size anomaly detection
“I have a batch of 120 save file records from our game with columns row_id, game_area, date, save_kb, and write_ms. Can you audit them for data quality issues and flag any IQR outliers in the save_kb field?”
Write performance outlier review
“Check these 80 game save records for data quality problems and flag any rows with outlier write_ms values using IQR analysis — the records include row_id, game_area, date, save_kb, and write_ms.”
Pre-release save data validation
“Before we ship, I want to make sure our save file telemetry data is clean. Here are 200 rows with row_id, game_area, date, save_kb, and write_ms — please run a quality audit and IQR outlier detection on save_kb so we can spot any bad data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-014?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 a general data quality audit and statistical outlier detection in a single call. It is purpose-built for game save file telemetry data with up to 200 rows and costs $0.01 USDC for both reports together. Prefer alternatives if you need live lookups, predictive analytics, or processing more than 200 rows at once.
Side effects
- Fewer than 1 row supplied returns an error
- More than 200 rows submitted exceeds the limit
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Missing required fields (row_id, game_area, date, save_kb, write_ms) triggers schema rejection
- Non-numeric values in save_kb or write_ms where numbers are expected may cause computation errors
- Invalid field enum value other than save_kb or write_ms returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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