{"uid":"cap_zzpyAQ-JJr2K2M5XwP-bR","slug":"customer-segment-observations-numeric-distribution-grouped-numeric-6616bbcd","name":"Customer Segment Observations — Numeric Distribution + Grouped Numeric Summary","description":"Customer segment observations — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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-16-071?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_AR-t_oqR5LjpH5T5VwOKp","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":"Computes a numeric distribution report and a grouped numeric summary for customer segment observation records (account_count, revenue_amount) on up to 200 supplied rows.","exampleAgentPrompt":"Can you run a numeric distribution and grouped summary on my customer segment data — I have rows with company_group, date, account_count, and revenue_amount fields, and I want to analyze the account_count field across up to 200 records?","exampleUseCases":[{"title":"Revenue spread analysis by segment","prompt":"I have customer segment observation records with revenue_amount and company_group columns — can you compute the numeric distribution and grouped summary for revenue_amount so I can see how revenue is spread across my segments?"},{"title":"Account count grouping by company","prompt":"I've got up to 150 rows of customer segment data with account_count per company_group and date — give me both a numeric distribution and a grouped numeric summary for account_count so I can spot which groups have the most accounts."},{"title":"Segment benchmarking for quarterly report","prompt":"Here are my customer segment observations for Q3, with fields row_id, company_group, date, account_count, and revenue_amount — run the numeric distribution and grouped numeric summary on revenue_amount so I can include the stats in our quarterly segment report."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing the spread, frequency, and statistical shape of the selected numeric field (account_count or revenue_amount), and (2) a grouped numeric summary aggregating that field by company_group — all computed locally against the supplied rows with no external lookups.","failureModes":["Rows array is empty or missing — validation error","More than 200 rows supplied — exceeds max limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value not in enum ['account_count','revenue_amount'] — rejection","Numeric fields out of allowed range (±1,000,000,000,000) — validation error","Missing required row fields (row_id, company_group, date) — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 customer segment observation records with account_count and/or revenue_amount fields and need both a numeric distribution and a grouped summary in a single low-cost call ($0.01 USDC). Ideal for local, offline-style analysis with no need for live data, predictions, or external enrichment. Prefer over general-purpose analytics when your data schema matches the customer segment observation format (row_id, company_group, date, account_count, revenue_amount).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:56.358Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-numeric-distribution-grouped-numeric-6616bbcd"}