{"uid":"cap_5bQwU3T1h-DPqAGhCgEmt","slug":"schema-conformity-analytics-equal-width-histogram-keyed-dataset-7cfa42f7","name":"Schema Conformity Analytics: Equal-Width Histogram + Keyed Dataset Comparison","description":"Schema conformity — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + Keyed dataset comparison for supplied schema conformity records (valid_records, checked_records). 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 (equal-width histogram and keyed dataset comparison) on schema conformity data (valid_records, checked_records) for up to 200 rows.","exampleAgentPrompt":"Analyze my schema conformity data — I have two datasets of up to 50 rows each with valid_records and checked_records fields, and I want an equal-width histogram with 10 bins on valid_records plus a keyed comparison between the two datasets to see where they differ.","exampleUseCases":[{"title":"Data Quality Pipeline Histogram Review","prompt":"I've got 80 rows of schema conformity results with valid_records and checked_records per day and dataset group — can you build a 5-bin equal-width histogram on checked_records and compare the results against last month's baseline dataset?"},{"title":"Cross-Group Conformity Comparison","prompt":"Compare these two schema conformity datasets by row key — I want to see which rows have diverging valid_records values and also get a histogram with 8 bins on valid_records so I can spot outliers."},{"title":"Time-Series Conformity Distribution Analysis","prompt":"Here are 120 daily schema conformity records for group-a and group-b with valid_records and checked_records — run a 10-bin equal-width histogram on valid_records and pair it with a keyed comparison against a reference dataset I'll supply."}],"resultDescription":"Two independent analytical reports: (1) an equal-width histogram showing the frequency distribution of the chosen field (valid_records or checked_records) across the specified number of bins, and (2) a keyed dataset comparison that matches rows from the primary and secondary datasets by row_id and surfaces differences in the numeric fields. Both reports are computed locally without external lookups.","failureModes":["More than 200 rows supplied — request rejected or truncated","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) on any row — validation error","bins value outside 1–30 range — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Mismatched row_ids between primary and comparison datasets — comparison report may show unmatched keys","Null numeric values may be excluded from histogram computation"],"whenToPreferThis":"Choose this endpoint when you need both a distributional view (histogram) and a direct row-by-row comparison of schema conformity metrics in a single $0.01 call, without needing real-time data, predictions, or external enrichment. Ideal for data quality teams doing batch analysis on up to 200 records of valid_records and checked_records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:51.971Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-equal-width-histogram-keyed-dataset-7cfa42f7"}