{"uid":"cap_6hD21AkF_QFEmrqaHLyn7","slug":"supplier-qualification-iqr-outlier-flags-and-keyed-dataset-comparison-23ed70b2","name":"Supplier Qualification IQR Outlier Flags and Keyed Dataset Comparison","description":"Supplier qualification — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison for supplied supplier qualification records (checked_criteria, met_criteria). 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 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IQR outlier detection and keyed dataset comparison on up to 200 supplier qualification records (checked_criteria, met_criteria), returning two independent analytical reports.","exampleAgentPrompt":"Run IQR outlier detection and a keyed dataset comparison on my supplier qualification records — here are up to 200 rows with checked_criteria and met_criteria values split across two datasets, and I want both reports for the checked_criteria field.","exampleUseCases":[{"title":"Flagging anomalous supplier qualification rates","prompt":"I have a batch of 150 supplier qualification records with checked_criteria and met_criteria — can you run IQR outlier detection on the met_criteria field and flag any rows that look statistically unusual?"},{"title":"Comparing this quarter vs last quarter supplier data","prompt":"Compare my Q3 and Q4 supplier qualification datasets — I'll give you both as separate row arrays keyed by row_id, and I want to see where the checked_criteria values diverge significantly between the two periods."},{"title":"Auditing a vendor group for qualification consistency","prompt":"I need to audit supplier qualification records for group-a and group-b — run both the IQR outlier flags and the keyed dataset comparison on these two datasets of up to 200 rows each to spot any inconsistencies in their checked_criteria scores."}],"resultDescription":"Two analytical reports: (1) IQR outlier flags identifying which rows have checked_criteria or met_criteria values outside the interquartile range bounds, and (2) a keyed dataset comparison showing row-by-row differences between the primary and reference datasets, keyed on row_id.","failureModes":["Fewer than 1 row supplied — minItems validation error","More than 200 rows supplied — maxItems exceeded error","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) on any row — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","field enum value not 'checked_criteria' or 'met_criteria' — validation error","Payment not completed via x402 — request rejected","Insufficient data variance for IQR computation (all identical values) — may produce degenerate outlier output"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based statistical outlier detection AND a keyed row comparison on supplier qualification data (checked_criteria, met_criteria) in a single $0.01 call covering up to 200 rows. It is ideal for procurement teams doing batch qualification audits or comparing supplier datasets across time periods without needing live lookups or predictive models.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:51:07.631Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-iqr-outlier-flags-and-keyed-dataset-comparison-23ed70b2"}