{"uid":"cap_ih24DIPOS5B3HaHWQRjsa","slug":"customer-segment-observations-base-100-series-keyed-dataset-comparison-67f95bc1","name":"Customer Segment Observations — Base-100 Series + Keyed Dataset Comparison","description":"Customer segment observations — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison for supplied customer segment observations records (account_count, revenue_amount). 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 local analytical reports on customer segment observation data: a Base-100 indexed time series and a keyed dataset comparison, for up to 200 rows.","exampleAgentPrompt":"Run a Base-100 series and keyed dataset comparison on my customer segment data — I have two datasets, each up to 200 rows with company_group, date, account_count, and revenue_amount, and I want to analyze account_count indexed to 100.","exampleUseCases":[{"title":"Quarter-over-quarter segment revenue comparison","prompt":"I have two quarters of customer segment data, each with company_group, date, and revenue_amount columns — can you run a Base-100 indexed series and a keyed comparison on revenue_amount so I can see how each group has grown relative to the start of each quarter?"},{"title":"Account count growth indexing by group","prompt":"Take these two datasets of customer segment observations — each has rows with company_group, date, and account_count — and generate a Base-100 series plus a keyed dataset comparison on account_count so I can benchmark each group's growth from day one."},{"title":"Side-by-side segment performance audit","prompt":"I want to compare this year's customer segment records against last year's using a Base-100 index and a keyed comparison report — both sets have company_group, date, account_count, and revenue_amount, and I want to focus on revenue_amount."}],"resultDescription":"Returns two analytical reports: (1) a Base-100 indexed time series showing normalized values for the selected field (account_count or revenue_amount) across dates and company groups, and (2) a keyed dataset comparison report matching rows between the primary and secondary datasets by key, all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside allowed range cause rejection","Empty rows array returns an error","Mismatched keys between primary and comparison dataset produce incomplete comparison report"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical reports — a Base-100 indexed series and a keyed dataset comparison — on customer segment observation data (account_count or revenue_amount) for up to 200 rows, all processed locally without any external data lookup or prediction. Ideal for benchmarking segment growth and comparing two dataset snapshots at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:31.845Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-base-100-series-keyed-dataset-comparison-67f95bc1"}