{"uid":"cap_lXV9QIgTBWuFApSNQYz1B","slug":"customer-segment-observations-grouped-numeric-summary-daily-sum-series-e012998e","name":"Customer Segment Observations — Grouped Numeric Summary + Daily Sum Series","description":"Customer segment observations — Grouped numeric summary + Daily sum series: Grouped numeric summary + 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-16-089?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_FHVx8mVntyxFcB5jCkVE1","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 grouped numeric summary and a daily sum time series for customer segment observations (account_count, revenue_amount) across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and daily sum series on my customer segment data — I have 4 rows with company groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want the analysis on the revenue_amount field?","exampleUseCases":[{"title":"Monthly revenue breakdown by segment","prompt":"I have 150 rows of customer segment observations with company groups like 'enterprise' and 'smb', spanning the last 30 days. Can you compute a grouped numeric summary and daily sum series for the revenue_amount field so I can see how each segment is performing day by day?"},{"title":"Account growth trend analysis","prompt":"Run a grouped summary and daily sum time series on my account_count data across two customer segments — 'north-region' and 'south-region' — for October 2026, using the 80 rows I'm providing. I want to see totals per day and overall group statistics."},{"title":"Weekly segment performance report","prompt":"I've got 60 rows of customer segment records with account_count and revenue_amount for groups 'premium' and 'standard' across last week. Generate a grouped numeric summary and daily sum series on the account_count field so I can compare segment sizes over time."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) for the chosen field broken down by company_group, and (2) a daily sum time series showing totals for the chosen field (account_count or revenue_amount) aggregated by date. Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, company_group, date, account_count, revenue_amount) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Empty rows array — no data to analyze","Payment of 0.01 USDC not provided — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of customer segment observation data with company groups and dates, and need both a grouped descriptive summary and a daily aggregated time series in a single low-cost call. It is ideal for lightweight analytical reporting on supplied data without requiring an external data warehouse or BI tool. Prefer it over general analytics services when you want a quick, affordable ($0.01 USDC) dual-report output using only your own provided records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:45.424Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-grouped-numeric-summary-daily-sum-series-e012998e"}