{"uid":"cap_tGHnERxRvnlAC2nChgzaN","slug":"air-quality-observations-exact-row-deduplication-keyed-dataset-2ee2018a","name":"Air Quality Observations — Exact Row Deduplication + Keyed Dataset Comparison","description":"Air quality observations — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + Keyed dataset comparison for supplied air quality observations records (concentration, observation_count). Up to 200 rows; 2 independent reports using shared local analytical engines. 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Can you run exact deduplication on this batch of up to 200 records and tell me which rows are duplicates?"},{"title":"Comparing two data pipeline outputs","prompt":"Our ETL pipeline ran twice and produced two slightly different air quality datasets. Each has row_id, station_group, date, concentration, and observation_count. Can you compare them row-by-row by key and flag any records where the concentration or observation_count changed between the two runs?"},{"title":"Auditing merged air quality datasets","prompt":"We merged air quality data from two regional stations into one file, and I need to know if there are any exact duplicate rows and whether the two original source files actually agreed on values. Can you run both a deduplication check and a keyed comparison on the two datasets — up to 200 rows each, with fields row_id, station_group, date, concentration, and observation_count?"}],"resultDescription":"Two analytical reports: (1) an exact row deduplication report identifying duplicate records within the supplied dataset, and (2) a keyed dataset comparison report showing row-by-row differences between the two supplied datasets on concentration and observation_count fields, based entirely on the data you provide with no external lookups.","failureModes":["More than 200 rows submitted — payload rejected or truncated","Missing required fields (row_id, station_group, date, concentration, observation_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Empty rows array submitted — minimum 1 item required","Numeric fields out of accepted range — schema rejection","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have air quality observation records (with concentration and observation_count fields) and need to either find exact duplicate rows within a single dataset or compare two datasets by row key to detect value differences — all using supplied data only, with no external API calls, predictions, or live data lookups. 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