{"uid":"cap_JzpjrlpYewJMv2mbARC1W","slug":"label-review-analytics-numeric-distribution-keyed-dataset-comparison-e40bbb52","name":"Label Review Analytics: Numeric Distribution + Keyed Dataset Comparison","description":"Label review — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison for supplied label review records (reviewed_records, changed_labels). 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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numeric distribution statistics and performs a keyed dataset comparison for label review records (reviewed_records, changed_labels) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"I have two batches of label review records (up to 200 rows each) with reviewed_records and changed_labels columns — can you run a numeric distribution analysis on reviewed_records and also compare the two datasets row-by-row using keyed matching to see where they differ?","exampleUseCases":[{"title":"Annotation quality audit across groups","prompt":"I have 150 rows of label review data split across 'group-a' and 'group-b' with reviewed_records and changed_labels for each day — can you give me the numeric distribution of reviewed_records and flag where the two groups diverge when compared as keyed datasets?"},{"title":"Comparing two annotation sprints","prompt":"We ran two label review sprints and I have both as row sets with row_id, date, dataset_group, reviewed_records, and changed_labels — please compute the distribution of changed_labels and do a keyed comparison between sprint 1 and sprint 2 to spot discrepancies."},{"title":"Tracking label correction rate changes over time","prompt":"I've got daily label review records from October across two dataset groups and I want to understand the numeric spread of changed_labels — can you run both the distribution report and a keyed dataset comparison against last month's equivalent data?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report for the selected field (reviewed_records or changed_labels) across the supplied rows, including statistics such as min, max, mean, median, and spread metrics; and (2) a keyed dataset comparison report that matches rows between the primary and secondary datasets by key and highlights differences in the numeric fields.","failureModes":["More than 200 rows submitted — request rejected due to row limit","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) in any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","No 'other' dataset provided when comparison report is expected — incomplete comparison output","Numeric values out of allowed range (beyond ±1,000,000,000,000) — validation error","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have structured label review data with reviewed_records and changed_labels fields and need both a numeric distribution summary and a keyed comparison between two datasets in a single $0.01 call. It is ideal for ML annotation pipelines, data labeling QA workflows, or auditing label correction rates across groups or time periods. Prefer it over general analytics tools when your data fits the label review schema and you want offline, deterministic computation without any external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:26.441Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-distribution-keyed-dataset-comparison-e40bbb52"}