{"uid":"cap_X9SQWECEoVuPBBfHiJCBv","slug":"customer-segment-observations-grouped-numeric-summary-category-55365b39","name":"Customer Segment Observations — Grouped Numeric Summary + Category Frequencies","description":"Customer segment observations — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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-16-086?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_GTadR9ZbDSAzN518Xffp1","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 customer segment observation records by computing grouped numeric summaries and category frequency distributions for account_count and revenue_amount fields.","exampleAgentPrompt":"Can you analyze these customer segment observations and give me both a grouped numeric summary and category frequency breakdown for account_count? I have up to 50 rows with fields like row_id, company_group, date, and account_count.","exampleUseCases":[{"title":"Revenue distribution across company groups","prompt":"I have a dataset of 80 customer segment records with company_group, date, and revenue_amount columns — can you give me a grouped numeric summary and category frequencies for revenue_amount so I can see how revenue is distributed across groups?"},{"title":"Account count analysis by segment","prompt":"Here are my customer segment observations for Q3 — each row has a row_id, company_group, date, and account_count. Can you run a grouped numeric summary and category frequency report on account_count across all the segments?"},{"title":"Comparing segment sizes for business review","prompt":"I need to prepare a business review and want to understand how many accounts each company group has. Can you take my 120 customer segment rows and compute both a grouped numeric summary and category frequencies for account_count?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary showing aggregate statistics (e.g. mean, min, max, count) for the selected field (account_count or revenue_amount) broken down by company_group, and (2) a category frequency table showing how often each company_group appears across the supplied rows. Covers up to 200 input rows per call.","failureModes":["Missing required fields (row_id, company_group, date, account_count, revenue_amount) causes validation error","More than 200 rows submitted exceeds limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error","Invalid field enum value (not account_count or revenue_amount) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular customer segment data (up to 200 rows) and need both grouped numeric statistics and category frequency counts in a single paid call. It is ideal for quick analytical summaries without needing a full BI tool or live database connection. Best when your data includes a grouping dimension (company_group) and numeric measures (account_count, revenue_amount).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:29.638Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-grouped-numeric-summary-category-55365b39"}