{"uid":"cap_0ItcVKVaCQ_XGCfdwbSe2","slug":"video-delivery-string-normalisation-and-keyed-dataset-comparison-f9880256","name":"Video Delivery String Normalisation and Keyed Dataset Comparison","description":"Video delivery — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied video delivery records (frame_count, file_mb). Up to 200 rows; 2 independent reports using shared local analytical engines. 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Can you run string normalisation on this batch of up to 150 video delivery rows and also compare it against a reference dataset so I can spot naming and value mismatches?"},{"title":"QA check before video asset archive","prompt":"Before we archive these video delivery records, I want to normalise all the string fields and do a keyed comparison between this week's export and last week's — rows have row_id, date, asset_group, frame_count, and file_mb — and get two reports back."}],"resultDescription":"Two analytical reports: one covering string normalisation results for the supplied video delivery rows (cleaned/standardised field values), and one covering keyed dataset comparison results highlighting differences between the two input arrays matched by row_id, covering frame_count and file_mb fields across up to 200 rows each.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, asset_group, date, frame_count, file_mb) in any row — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Payment not included or insufficient — 402 Payment Required","Numeric values outside allowed range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have two structured sets of video delivery records (with frame_count and file_mb fields) and need both string normalisation and a keyed row-level comparison in a single low-cost call. 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