{"uid":"cap_3i91ygiVU43ypuHGRZ0bQ","slug":"customer-segment-observations-daily-sum-series-adjacent-row-changes-9d9995c5","name":"Customer Segment Observations — Daily Sum Series + Adjacent Row Changes","description":"Customer segment observations — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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-16-137?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_cHcJLWSGrwmGPMqiXqgfc","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 daily sum series and adjacent row changes for customer segment observation records (account_count, revenue_amount) across up to 200 rows.","exampleAgentPrompt":"Can you run the daily sum series and adjacent row changes report on my customer segment data? I have rows with dates from 2026-10-01 to 2026-10-04, company groups like 'group-a' and 'group-b', and I want to analyze the account_count field.","exampleUseCases":[{"title":"Daily revenue trend by segment","prompt":"I have 50 rows of customer segment observations with dates, company groups, and revenue amounts — can you compute the daily sum series and show me how revenue changes between adjacent days for the revenue_amount field?"},{"title":"Account count growth tracking","prompt":"Run the daily sum and adjacent row change analysis on my customer segment data for account_count — I have records from October across groups like 'enterprise' and 'smb' and want to see how the totals shift day by day."},{"title":"Segment performance comparison report","prompt":"I need two analytical reports on my customer segment observations: the daily sum series and the adjacent row deltas, both for the account_count field across about 120 rows spanning Q4."}],"resultDescription":"Returns two independent reports for the supplied data: (1) a daily sum series aggregating the chosen metric (account_count or revenue_amount) by date, and (2) adjacent row changes showing the difference between consecutive rows — all computed locally from the provided data without external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors","Invalid date format (non-YYYY-MM-DD) causes parsing failure","Numeric values outside ±1,000,000,000,000 range cause schema validation errors","Invalid field selector (not 'account_count' or 'revenue_amount') returns an error"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregation (sum series) and a sequential delta (adjacent row changes) computed together on customer segment observation data in a single low-cost call. Ideal for BI pipelines that need quick day-over-day trend analysis on segment-level account or revenue data without setting up a local analytics environment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:40.500Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-daily-sum-series-adjacent-row-changes-9d9995c5"}