{"uid":"cap_BTrp4DvRB5Ey6Vj0-EBeV","slug":"data-ingestion-batches-daily-sum-series-keyed-dataset-comparison-e3ac0ee6","name":"Data Ingestion Batches — Daily Sum Series + Keyed Dataset Comparison","description":"Data ingestion batches — Daily sum series + Keyed dataset comparison: Daily sum series + Keyed dataset comparison for supplied data ingestion batches records (received_rows, accepted_rows). 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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daily sum time series and performs keyed dataset comparison for data ingestion batch records (received_rows, accepted_rows) across up to 200 rows.","exampleAgentPrompt":"Can you run a daily sum series and keyed comparison on these two ingestion batch datasets — use 'accepted_rows' as the field — I have up to 50 rows in each set and want to see day-by-day totals and where the two datasets differ?","exampleUseCases":[{"title":"Pipeline acceptance rate trending","prompt":"I have a week of ingestion batch logs with received_rows and accepted_rows per dataset group and date — can you generate a daily sum series for accepted_rows so I can see which days had the lowest acceptance rates?"},{"title":"Detecting batch discrepancies between runs","prompt":"I ran two versions of the same ingestion job and got slightly different row counts — can you do a keyed comparison of these two batches on accepted_rows to show me exactly which rows differ and by how much?"},{"title":"Multi-group daily ingestion summary","prompt":"I've got 120 ingestion batch records across four dataset groups spanning last month — can you compute the daily sum of received_rows across all groups and also compare this month's batch against last month's baseline?"}],"resultDescription":"Returns two reports: (1) a daily sum series aggregating the selected field (received_rows or accepted_rows) by date across the supplied rows, and (2) a keyed dataset comparison showing row-by-row differences between the primary and secondary datasets. Both reports are computed locally using shared analytical engines with no external lookups.","failureModes":["Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation error","Date values not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted returns an error","Null numeric values may affect aggregation totals if not handled","Mismatched row_ids between primary and comparison dataset may result in unmatched rows in comparison report"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregate time series AND a row-level keyed comparison for data ingestion batch records in a single low-cost call. Ideal for ETL monitoring, data quality checks, and batch-to-batch diff analysis where you supply your own data and need fast local computation without external lookups or live data feeds.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:36.244Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-daily-sum-series-keyed-dataset-comparison-e3ac0ee6"}