{"uid":"cap_x2-MFnfnszytwkPYAO-wU","slug":"customer-segment-observations-numeric-distribution-date-by-category-fa8a5cdc","name":"Customer Segment Observations — Numeric Distribution + Date by Category Pivot","description":"Customer segment observations — Numeric distribution + Date by category pivot: Numeric distribution + 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-16-083?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_aemzdP1-avCRrASdNyZbg","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":"Runs two local analytical reports (numeric distribution and date-by-category pivot) on customer segment observation data containing account counts and revenue amounts, for up to 200 rows.","exampleAgentPrompt":"I have a list of up to 200 customer segment records with company groups, dates, account counts, and revenue amounts — can you run a numeric distribution report and a date-by-category pivot on the account_count field for me?","exampleUseCases":[{"title":"Quarterly revenue distribution by segment","prompt":"I have 150 customer segment records with company_group, date, account_count, and revenue_amount — can you run a numeric distribution and date-by-category pivot on revenue_amount so I can see how revenue breaks down across groups and time?"},{"title":"Account count spread across company groups","prompt":"Here are my customer segment observations for the last quarter across group-a and group-b — run me the numeric distribution and date pivot reports on account_count so I can see how accounts are spread over time by group."},{"title":"Segment data sanity check before reporting","prompt":"Before I finalize my board report, can you run a numeric distribution and date-by-category pivot on these 80 customer segment rows using the account_count field? I want to make sure the numbers look reasonable across company groups and dates."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles) for the selected field (account_count or revenue_amount), and (2) a date-by-category pivot table showing how the selected numeric field aggregates across company_group categories over time — all computed locally without any external lookups or predictions, for up to 200 input rows.","failureModes":["Exceeding 200 rows results in rejection or truncation","Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in numeric fields may affect distribution calculations","Invalid field enum value (not account_count or revenue_amount) causes rejection","Payment of 0.01 USDC not completed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have raw customer segment observation records (with company_group, date, account_count, revenue_amount) and need two bundled analytical views — a numeric distribution and a date-by-category pivot — in a single low-cost call. It is ideal for lightweight, local analytics on small-to-medium datasets (up to 200 rows) without needing a full BI platform. Prefer it over generic analytics tools when your data fits the customer segment schema exactly and you want both reports in one request for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:57.574Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-numeric-distribution-date-by-category-fa8a5cdc"}