Tutorial Completion Data Quality Suite — Record Audit, Deduplication & 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 2026-11-02).
Runs three independent data quality reports (record quality audit, exact row deduplication, and IQR outlier flagging) on tutorial completion data (starts and completions) for up to 200 rows.
Tutorial completion — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied tutorial completion records (starts, completions). 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.
Three independent analytical reports: (1) a record quality audit highlighting missing, malformed, or invalid field values; (2) an exact row deduplication report identifying duplicate records; and (3) IQR outlier flags on the selected numeric field ('starts' or 'completions'), identifying rows whose values fall outside the interquartile range bounds. All analysis is performed locally on the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-20-220?utm_source=zero.xyzChoose this endpoint when you need a bundled, cost-effective three-in-one data quality pass specifically for tutorial completion records (starts/completions by game area and date). It is ideal for pre-analysis data hygiene, pipeline output validation, or periodic data audits where you want record quality, deduplication, and outlier detection in a single $0.01 call rather than three separate services. Best suited for datasets up to 200 rows; not suitable for live prediction, external enrichment, or datasets requiring professional statistical assessment.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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