{"uid":"cap_D389pdcmuxm7JHVWMVFOp","slug":"duplicate-observations-analytics-category-frequencies-keyed-dataset-18a59cbb","name":"Duplicate Observations Analytics — Category Frequencies + Keyed Dataset Comparison","description":"Duplicate observations — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison for supplied duplicate observations records (duplicate_rows, total_rows). 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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duplicate observation records to produce two reports: category frequency breakdowns and a keyed comparison between two datasets, for up to 200 rows each.","exampleAgentPrompt":"Can you run a duplicate analysis on my two datasets — the primary one has groups like 'group-a' and 'group-b' with dates and duplicate_rows/total_rows counts, and I want both a category frequency breakdown and a keyed comparison against my second dataset for the same records?","exampleUseCases":[{"title":"Pre/post deduplication audit","prompt":"I ran a deduplication job on my pipeline and I want to compare the duplicate_rows counts before and after — can you give me a category frequency report and a keyed comparison between the two snapshots so I can see what changed per group?"},{"title":"Data quality monitoring by group","prompt":"I have up to 200 records with dataset_group, date, duplicate_rows, and total_rows — can you break down the duplicate frequency by category and show me a side-by-side comparison against last week's data?"},{"title":"Multi-source dataset reconciliation","prompt":"We're ingesting data from two sources and both have duplicate_rows and total_rows fields keyed by row_id, dataset_group, and date — please run a category frequency analysis and a keyed comparison so I can see where the two sources diverge on duplicates."}],"resultDescription":"Returns two independent analytical reports: (1) category frequencies showing how duplicate and total row counts distribute across dataset_group values, and (2) a keyed dataset comparison aligning the primary and secondary datasets by row_id to highlight differences in duplicate_rows and total_rows. Both reports are computed locally without external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in duplicate_rows or total_rows may produce incomplete statistics","Mismatched row_ids between primary and secondary datasets result in unmatched keyed comparison entries"],"whenToPreferThis":"Choose this endpoint when you need both a category-level frequency breakdown and a row-keyed cross-dataset comparison of duplicate observation data in a single $0.01 call. It is ideal for data quality audits, pipeline validation, and before/after deduplication comparisons where the dataset fits within 200 rows and no external data lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T19:00:52.021Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-category-frequencies-keyed-dataset-18a59cbb"}