{"uid":"cap__vsJdGuc4j3XaqByftXrn","slug":"customer-segment-observations-grouped-numeric-summary-date-by-88c7ad77","name":"Customer Segment Observations — Grouped Numeric Summary + Date by Category Pivot","description":"Customer segment observations — Grouped numeric summary + Date by category pivot: Grouped numeric summary + Date by category pivot 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-16-097?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_-XskG17NGSN6IUBgmL0ax","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":"Generates two analytical reports for customer segment data: a grouped numeric summary and a date-by-category pivot, covering account_count or revenue_amount fields across up to 200 rows.","exampleAgentPrompt":"I have customer segment records with account counts and revenue amounts for two company groups (group-a and group-b) across several dates — can you run a grouped numeric summary and a date-by-category pivot on the revenue_amount field for up to 200 rows?","exampleUseCases":[{"title":"Monthly revenue breakdown by segment","prompt":"I've got monthly customer segment data for three company groups with revenue_amount and account_count columns — can you give me a grouped numeric summary and a date pivot on revenue_amount so I can see how each group is trending?"},{"title":"Account count audit across customer groups","prompt":"Run a grouped summary and a date-by-category pivot on my customer segment records using the account_count field — I have about 150 rows across group-a and group-b with dates from last quarter."},{"title":"Comparing segment performance for board report","prompt":"I need two quick analytical reports on our customer segment observations — a grouped numeric summary and a date pivot — using revenue_amount across all our company groups; I'll supply the rows, there are around 80 of them."}],"resultDescription":"Two analytical reports: (1) a grouped numeric summary aggregating account_count or revenue_amount statistics by company_group, and (2) a date-by-category pivot showing the selected metric broken down by date and company_group — all computed locally from the supplied rows with no external data lookup.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside the allowed range (±1,000,000,000,000) rejected","Empty rows array returns an error","Invalid field enum value (anything other than account_count or revenue_amount) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have pre-collected customer segment observation records (with company_group, date, account_count, and/or revenue_amount) and need both a grouped numeric summary and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytics on supplied data rather than live data retrieval. Prefer it over general-purpose analytics tools when you want two complementary reports for up to 200 rows at a fixed cost of $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:49.877Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-grouped-numeric-summary-date-by-88c7ad77"}