Tutorial Completion IQR Outlier Flags and Explicit 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 2026-11-02).
Analyzes tutorial completion records (starts and completions) to flag IQR-based outliers and fill missing values using a chosen method, returning two analytical reports for up to 200 rows.
Tutorial completion — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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.
Returns two reports: (1) an IQR-based outlier flag report identifying which rows in the specified field fall outside the interquartile range fence, and (2) an explicit missing-value fill report showing which null entries were imputed and with what value (zero, mean, or median), all computed locally without any external lookup or prediction.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-20-180?utm_source=zero.xyzChoose this endpoint when you need both IQR-based outlier detection and missing-value imputation on tutorial completion records (starts/completions) in a single low-cost call. It is purpose-built for game tutorial funnel data with game_area and date dimensions, and delivers two bundled analytical reports for up to 200 rows at $0.01 USDC. Prefer it over general-purpose data tools when your dataset is already structured with the required schema fields and you want fast, offline statistical cleaning without external API dependencies or prediction services.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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