{"uid":"cap_DRLuv-KMZZpak-6sW09EX","slug":"customer-segment-observations-numeric-row-ordering-daily-sum-series-a707ecb2","name":"Customer Segment Observations — Numeric Row Ordering + Daily Sum Series","description":"Customer segment observations — Numeric row ordering + Daily sum series: Numeric row ordering + 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-16-114?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_Qg6vECcqTmYm28BvoID22","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":"Applies numeric row ordering and daily sum series analysis to customer segment observation records (account_count, revenue_amount) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a table of customer segment observations with columns row_id, company_group, date, account_count, and revenue_amount — can you rank the rows numerically and also give me a daily sum series for the revenue_amount field? I have about 50 rows across two groups.","exampleUseCases":[{"title":"Daily revenue rollup by segment","prompt":"Here's my customer segment data with dates, company groups, and revenue amounts — can you give me a daily sum series for revenue_amount so I can see how much revenue each day totals across all groups? I have 80 rows covering October 2026."},{"title":"Rank segment rows by account count","prompt":"I've got customer segment observations for group-a and group-b with account counts and dates. Can you apply numeric row ordering to the account_count field so I know the relative rank of each row?"},{"title":"Dual report on segment metrics","prompt":"Run both the numeric ordering and the daily sum series reports on my customer segment dataset — I want to analyze account_count. There are 120 rows with row IDs, dates from 2026-10-01 onward, and two company groups."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering (rank sequence) applied to the selected field across all supplied rows, and (2) a daily sum series aggregating the selected field (account_count or revenue_amount) by date — all computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors","More than 200 rows submitted results in rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Payment of 0.01 USDC not completed results in 402 response","Null values in the selected metric field may affect sum and ordering calculations"],"whenToPreferThis":"Choose this endpoint when you need both a ranked ordering of rows and a daily aggregated sum series on customer segment data (account_count or revenue_amount) in a single low-cost call. Ideal for batch offline analysis of pre-collected segment observations without needing live data lookups, predictions, or external enrichment. Best suited for datasets up to 200 rows where two bundled reports are more cost-efficient than separate calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T00:52:18.236Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-numeric-row-ordering-daily-sum-series-a707ecb2"}