{"uid":"cap_3J3MfsgqpFokFtIdJejDW","slug":"customer-segment-observations-numeric-distribution-daily-sum-series-93e7f00e","name":"Customer Segment Observations — Numeric Distribution + Daily Sum Series","description":"Customer segment observations — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-16-075?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","account_count","revenue_amount"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"account_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"revenue_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","account_count":10,"company_group":"group-a","revenue_amount":1},{"date":"2026-10-02","row_id":"row-2","account_count":20,"company_group":"group-b","revenue_amount":2},{"date":"2026-10-03","row_id":"row-3","account_count":15,"company_group":"group-a","revenue_amount":3},{"date":"2026-10-04","row_id":"row-4","account_count":30,"company_group":"group-b","revenue_amount":4}],"maxItems":200,"minItems":1},"field":{"enum":["account_count","revenue_amount"],"type":"string","default":"account_count"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_X1Z6HSu0kxlS_Ou7stFJl","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a numeric distribution report and a daily sum time series for account_count or revenue_amount across customer segment observation rows (up to 200)","exampleAgentPrompt":"Can you run a numeric distribution analysis and daily sum series on my customer segment data — I have rows with company_group, date, account_count, and revenue_amount fields — and analyze the revenue_amount field across up to 200 records?","exampleUseCases":[{"title":"Revenue distribution across company segments","prompt":"I have about 150 rows of customer segment observations with company_group, date, and revenue_amount. Can you give me the numeric distribution and daily sum series for revenue_amount so I can see how revenue is spread and trending day by day?"},{"title":"Account count daily trend summary","prompt":"Run a distribution summary and daily sum time series on my account_count data — I've got segment observations across multiple company groups over the past quarter, around 180 rows total. Use account_count as the field."},{"title":"Segment observation QA before reporting","prompt":"Before I put together my segment report, can you compute the numeric distribution and daily totals for account_count across these 60 customer segment rows? I want to catch any anomalies in the spread and see if daily sums look reasonable."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the chosen field (account_count or revenue_amount), and (2) a daily sum time series aggregating that field by date — both computed locally from the supplied rows without any external lookup or prediction.","failureModes":["More than 200 rows supplied — request will be 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) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 rejected by schema bounds","All-null values for the selected field may produce empty or degenerate distribution output","Invalid field enum value (not account_count or revenue_amount) causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both a statistical distribution snapshot and a day-by-day sum trend from customer segment observations in a single low-cost call. It is best suited for offline or batch analytical workflows where you supply your own data rows (no live data fetch), need reproducible local computation, and want two complementary views — distributional shape plus temporal aggregation — for up to 200 records at $0.01 per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:54.406Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-numeric-distribution-daily-sum-series-93e7f00e"}