{"uid":"cap_Ijq680D1rznQjqo5o9c3u","slug":"customer-segment-observations-category-frequencies-numeric-row-ordering-40c75f68","name":"Customer Segment Observations — Category Frequencies + Numeric Row Ordering","description":"Customer segment observations — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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-16-100?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_N9MK87v1VeAj1aVoWlzxV","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":"Analyzes up to 200 customer segment observation records to produce two reports: category frequency counts for company_group and numeric row ordering for account_count or revenue_amount.","exampleAgentPrompt":"I have 4 rows of customer segment data — row-1 group-a 2026-10-01 with 10 accounts and $1 revenue, row-2 group-b 2026-10-02 with 20 accounts and $2 revenue, row-3 group-a 2026-10-03 with 15 accounts and $3 revenue, row-4 group-b 2026-10-04 with 30 accounts and $4 revenue — can you give me both a category frequency breakdown by company_group and a numeric row ordering by account_count?","exampleUseCases":[{"title":"Segment frequency audit for quarterly review","prompt":"I have 50 customer segment records across groups like enterprise, mid-market, and SMB with dates and account counts — can you tell me how frequently each company group appears and rank all rows by account_count?"},{"title":"Revenue ranking for top customer groups","prompt":"Here are 120 rows of customer segment observations with company_group, date, account_count, and revenue_amount fields — I need a category frequency count for each group and a numeric ordering of rows by revenue_amount."},{"title":"Identifying dominant segments in dataset","prompt":"I've got a dataset of 80 customer segment records across several company groups — can you produce a frequency report showing which groups appear most often and also rank the rows numerically by account_count?"}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each company_group value appears across the supplied rows, and (2) a numeric row ordering ranking all rows by the selected numeric field (account_count or revenue_amount), all computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit","Missing required fields (row_id, company_group, date, account_count, or revenue_amount) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Numeric field values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — range error","Invalid field enum value — must be account_count or revenue_amount"],"whenToPreferThis":"Choose this endpoint when you have up to 200 customer segment observation records and need both a category frequency distribution of company groups and a numeric row ranking by account_count or revenue_amount in a single low-cost call ($0.01 USDC). Ideal for local, self-contained analytics with no need for external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:52.941Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-category-frequencies-numeric-row-ordering-40c75f68"}