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Tutorial Completion Record Quality Audit + IQR Outlier Flags
x402
Tutorial Completion Record Quality Audit + 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 2026-11-04).
Runs two analytical reports on tutorial completion data (starts and completions): a record quality audit and IQR-based outlier detection, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tutorial completion — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags for supplied tutorial completion records (starts, completions). 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 independent analytical reports: (1) a record quality audit identifying missing, malformed, or inconsistent values across the supplied rows, and (2) IQR-based outlier flags identifying which rows contain statistically extreme values in the selected field (starts or completions). No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Pre-analysis data quality check
“Before I analyze my tutorial funnel, can you audit this dataset of 80 tutorial completion records for quality issues and flag any IQR outliers in the starts field? Each row has a row_id, game_area, date, starts, and completions.”
Detecting anomalous completions by game area
“I have 120 rows of tutorial completion data across different game areas and I suspect some completions values are way off — can you run a quality audit and IQR outlier detection on the completions field so I can see which rows are suspicious?”
Routine data hygiene for game tutorial metrics
“Every week I collect tutorial start and completion counts per game area. Can you do a record quality audit plus IQR outlier flagging on this week's 60-row batch, checking the starts field, so I can clean it before it goes into my dashboard?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-20-014?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 tutorial completion records and need both a data quality audit and IQR-based outlier detection in a single low-cost call. It is purpose-built for gaming/tutorial funnel metrics with the starts and completions structure. Prefer it over generic data profiling tools when you need two bundled reports from a single API call at minimal cost ($0.01 USDC) without any external data dependencies.
Side effects
- More than 200 rows submitted — request exceeds the maxItems limit and will be rejected
- Missing required fields (row_id, game_area, date, starts, or completions) in any row — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- All values in the selected field are null — IQR cannot be computed
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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