{"uid":"cap_ywkVASRwSpt28RS55OnvG","slug":"structured-data-observations-numeric-distribution-keyed-dataset-6fc7c428","name":"Structured Data Observations — Numeric Distribution + Keyed Dataset Comparison","description":"Structured data observations — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison for supplied structured data observations records (valid_items, total_items). 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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up to 200 rows of structured observation records (valid_items, total_items) producing two local analytical reports: a numeric distribution summary and a keyed dataset comparison between two supplied datasets.","exampleAgentPrompt":"Analyze my observation records — I have two datasets of up to 200 rows each with valid_items and total_items per site group and date, and I want both a numeric distribution report and a keyed comparison between them using the valid_items field.","exampleUseCases":[{"title":"Quality rate distribution across site groups","prompt":"I have 150 rows of daily observations from site groups A and B with valid_items and total_items counts — can you run a numeric distribution report on the valid_items field so I can see how quality rates are spread across my dataset?"},{"title":"Before-and-after dataset comparison","prompt":"I've got two versions of my observation dataset, each up to 200 rows with row_id, site_group, date, valid_items, and total_items — compare them by row key on the total_items field so I can see what changed between runs."},{"title":"Multi-site data validation audit","prompt":"Here are two structured observation datasets from our monitoring pipeline — run a numeric distribution and a keyed comparison on valid_items so I can spot anomalies and mismatches between the two site group snapshots."}],"resultDescription":"Two analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram) for the selected field (valid_items or total_items) across the supplied rows; and (2) a keyed dataset comparison report identifying row-by-row differences between the primary and secondary dataset using row_id as the join key. All computation is local with no external data lookups.","failureModes":["More than 200 rows supplied — endpoint rejects input exceeding maxItems limit","Missing required fields (row_id, site_group, date, valid_items, total_items) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Null numeric values in valid_items or total_items may affect distribution statistics","Mismatched row_ids between rows and other arrays result in unmatched keys in comparison report","Empty rows array (minItems: 1 violation) returns an error"],"whenToPreferThis":"Choose this endpoint when you have structured observation records with numeric measurement fields (valid_items, total_items) and need both a statistical distribution summary and a row-keyed comparison between two datasets in a single $0.01 call. Ideal for data quality monitoring, A/B dataset audits, and batch analytics on up to 200 rows without needing live lookups, ML predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:53:25.864Z","isFirstParty":false,"canonicalSlug":"structured-data-observations-numeric-distribution-keyed-dataset-6fc7c428"}