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Save Files Record Quality Audit + Missing-Value Fill
x402
Save Files Record Quality Audit + Missing-Value Fill 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).
Audits record quality and fills missing values (via zero, mean, or median) for up to 200 game save-file records containing save_kb and write_ms fields, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Save files — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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 independent reports: (1) a record quality audit flagging completeness, validity issues, and anomalies across the supplied rows; and (2) an explicit missing-value fill report showing which rows had null values in the target field (save_kb or write_ms) and what values were imputed using the chosen method (zero, mean, or median). No external data is fetched; all analysis uses local engines on the supplied rows only.
Example use cases
Game save data quality check
“I have about 150 game save log entries with save_kb and write_ms fields and some nulls scattered throughout — can you run a quality audit on them and fill in the missing save_kb values using median imputation?”
Write latency missing-value fill
“My game performance dataset has some missing write_ms values across different game areas. Can you audit the record quality and fill those gaps using mean imputation so I can do a clean analysis?”
Pre-analysis save file data cleaning
“Before I run my analysis, I need to check my 80 save file records for quality issues and replace any null save_kb entries with zero — can you generate both the quality audit and the missing-value fill reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-13-019?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 data quality audit and systematic missing-value imputation in a single call. It is purpose-built for save file performance data (up to 200 rows) and provides two reports simultaneously for a flat fee. Prefer it over general-purpose data tools when your dataset matches the exact schema (row_id, game_area, date, save_kb, write_ms) and you want controlled imputation with a choice of zero, mean, or median fill strategy.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- row_id missing or empty string causes schema rejection
- Field value outside allowed numeric range (±1 trillion) triggers validation error
- Invalid method enum value (not zero/mean/median) causes request failure
- Invalid field enum value (not save_kb/write_ms) causes request failure
- Payment of 0.01 USDC not provided — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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