{"uid":"cap_2PdP6t6-zo_n-V_X-FsJN","slug":"schema-conformity-analytics-numeric-row-ordering-keyed-dataset-d9e73654","name":"Schema Conformity Analytics: Numeric Row Ordering + Keyed Dataset Comparison","description":"Schema conformity — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 2 independent reports using shared local analytical engines. 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schema conformity records by computing numeric row ordering and keyed dataset comparison reports for valid_records and checked_records fields across up to 200 rows.","exampleAgentPrompt":"I have two sets of schema conformity records — a primary dataset and a comparison dataset, each with up to 50 rows containing valid_records and checked_records values — can you rank the rows numerically by valid_records and also compare the two datasets by key to spot differences?","exampleUseCases":[{"title":"Ranking data quality results by record count","prompt":"I've got 80 rows of schema conformity results with valid_records and checked_records per dataset_group and date — rank them numerically by valid_records so I can see which groups are performing best."},{"title":"Comparing two conformity dataset snapshots","prompt":"I ran schema conformity checks last week and again today and I want to compare the two result sets row by row using the row_id as the key — can you run both reports on valid_records so I see what changed?"},{"title":"Auditing checked vs valid record ratios by group","prompt":"Here are my conformity check results for groups A and B across October — rank the rows by checked_records and compare against my baseline dataset to identify any groups where the numbers diverged."}],"resultDescription":"Two independent analytical reports: (1) a numeric row ordering report that ranks the submitted rows by the selected field (valid_records or checked_records), and (2) a keyed dataset comparison report that matches rows from the primary and secondary datasets by row_id and highlights value differences in the selected field.","failureModes":["Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors","Submitting more than 200 rows exceeds the maximum and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema rejection","Mismatched row_ids between primary and comparison datasets may result in unmatched rows in the comparison report","null values in valid_records or checked_records may affect ordering completeness"],"whenToPreferThis":"Choose this endpoint when you need two offline analytical reports — numeric ordering and keyed comparison — on schema conformity data (valid_records, checked_records) in a single $0.01 call. Ideal for data quality pipelines comparing conformity check snapshots over time or across dataset groups, where no live lookup or external data is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:11.927Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-numeric-row-ordering-keyed-dataset-d9e73654"}