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Level Checkpoints Data Quality & Ordering Analyzer
x402
Level Checkpoints Data Quality & Ordering Analyzer 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, normalizes strings, and orders rows numerically for game level checkpoint data (completions and retries) across up to 200 rows, returning 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Level checkpoints — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied level checkpoints records (completions, retries). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns 3 independent reports: (1) a record quality audit flagging missing, null, or out-of-range values across the checkpoint rows; (2) a string normalization report standardizing game_area and other text fields; and (3) a numeric row ordering report ranking rows by the selected field (completions or retries). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
QA audit for game checkpoint logs
“I have a CSV export of level checkpoint records with game_area, date, completions, and retries — can you audit the data quality, normalize the game area strings, and sort the rows by completions so I can identify any bad records before importing?”
Retry rate ordering across levels
“Take these 80 level checkpoint rows I have and give me the numeric row ordering by retries, plus a string normalization pass on the game_area field and a record quality audit — I want to see which levels have the most retries ranked from highest to lowest.”
Pre-analysis data cleanup for checkpoint dataset
“Before I run my own analysis, can you clean up this level checkpoint dataset — run a record quality audit, normalize all the string fields, and order everything numerically by completions? I have about 120 rows covering multiple game areas and dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-03-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have game-level checkpoint data (completions and retries) and need three bundled analytical operations — quality audit, string normalization, and numeric ordering — in a single cheap call ($0.01 USDC). Ideal for pre-processing pipeline steps before deeper analysis, or for validating exported checkpoint logs. Not suitable if you need live data fetching, predictive modeling, or analysis of non-game datasets.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, game_area, date, completions, retries) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array (minItems: 1 not satisfied) causes request failure
- Invalid field enum value (not 'completions' or 'retries') causes field selector error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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