{"uid":"cap_1IwKaea4L-7hyWj-QpOO1","slug":"duplicate-observations-analytics-base-100-series-keyed-dataset-ea5a1cdd","name":"Duplicate Observations Analytics — Base-100 Series & Keyed Dataset Comparison","description":"Duplicate observations — Base-100 series + Keyed dataset comparison: Base-100 series + 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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two analytical reports (Base-100 indexed time series and keyed dataset comparison) for duplicate-observation metrics (duplicate_rows, total_rows) across up to 200 supplied records.","exampleAgentPrompt":"Run a base-100 series and keyed dataset comparison on my duplicate_rows data — I have 4 records: group-a on 2026-10-01 with 10 duplicates out of 1 total, group-b on 2026-10-02 with 20 duplicates out of 2 total, group-a on 2026-10-03 with 15 duplicates out of 3 total, and group-b on 2026-10-04 with 30 duplicates out of 4 total.","exampleUseCases":[{"title":"Monthly duplicate rate trend analysis","prompt":"I have 6 months of duplicate_rows and total_rows counts for two data pipelines — can you run a base-100 series on the duplicate_rows field so I can see how each pipeline's duplicate rate has trended relative to its starting point?"},{"title":"Cross-team dataset quality comparison","prompt":"Compare duplicate row counts between our 'warehouse' and 'staging' dataset groups using the keyed dataset comparison report — here are 50 daily records with row_id, date, duplicate_rows, and total_rows for each group."},{"title":"Data quality audit before migration","prompt":"Before we migrate, I need to know if duplicate observations are worse in group-a or group-b — can you run both the base-100 series and keyed comparison on total_rows for these 30 records across the two groups?"}],"resultDescription":"Returns two independent analytical reports computed locally: (1) a Base-100 indexed time series normalizing the selected field (duplicate_rows or total_rows) relative to its baseline value, and (2) a keyed dataset comparison report breaking down metrics by dataset_group. No external lookups or predictions are included.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row causes validation error","Date values not matching YYYY-MM-DD pattern are rejected","Numeric fields outside ±1,000,000,000,000 range are rejected","Empty rows array (minItems:1 not met) causes error","Payment of 0.01 USDC not included or failed — 402 response returned"],"whenToPreferThis":"Choose this endpoint when you have tabular duplicate-observation data (duplicate_rows and total_rows per date and group) and need both a normalized baseline-indexed trend and a side-by-side dataset group comparison in a single $0.01 call. It is ideal for offline/batch data quality audits where no live data fetching, prediction, or external enrichment is needed — just local analytical computation on supplied records up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:54:10.992Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-base-100-series-keyed-dataset-ea5a1cdd"}