{"uid":"cap_lNfSw-oeuwFz7szUf8RVm","slug":"pipeline-durations-analytics-numeric-row-ordering-keyed-dataset-fec5f6c1","name":"Pipeline Durations Analytics: Numeric Row Ordering + Keyed Dataset Comparison","description":"Pipeline durations — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison for supplied pipeline durations records (run_seconds, processed_rows). Up to 200 rows; 2 independent reports using shared local analytical engines. 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Here are the rows for dataset A and dataset B, each up to 200 rows, with run_seconds as the field to analyze.","exampleUseCases":[{"title":"Ranking pipelines by slowest run time","prompt":"I have 50 pipeline run records with row IDs, dates, and run_seconds values across two groups — can you rank them from slowest to fastest by run_seconds and also compare the two groups against each other?"},{"title":"Comparing before-and-after pipeline optimization","prompt":"I ran our ETL pipeline before and after a code change. Here are two sets of records with run_seconds and processed_rows — can you do a numeric ordering and a keyed comparison so I can see which rows changed?"},{"title":"Auditing pipeline throughput across dataset groups","prompt":"I've got two batches of pipeline records labeled group-a and group-b, each with processed_rows counts. Can you rank them by processed_rows and compare the two batches to spot differences?"}],"resultDescription":"Two analytical reports: (1) a numeric row ordering report that ranks the supplied records by the chosen field (run_seconds or processed_rows), and (2) a keyed dataset comparison report that matches rows across the two supplied datasets by row_id and highlights differences. No external data is fetched; all analysis is performed on the submitted records.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in run_seconds or processed_rows may affect ordering results","Mismatched row_ids between the two datasets reduce keyed comparison coverage"],"whenToPreferThis":"Choose this endpoint when you need both a numeric ranking of pipeline duration records and a side-by-side keyed comparison of two datasets in a single call, without needing external data lookups or predictions. Ideal for data engineers who want lightweight, local analytical reports on up to 200 pipeline run rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:04.857Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-analytics-numeric-row-ordering-keyed-dataset-fec5f6c1"}