{"uid":"cap_6cfDw5cE7EZcosA4VqG0D","slug":"customer-segment-observations-record-quality-audit-numeric-distribution-d5521d2e","name":"Customer Segment Observations — Record Quality Audit + Numeric Distribution","description":"Customer segment observations — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution 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-16-004?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_LG5RwC5vmg6qcvItxNsa6","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 a record quality audit and numeric distribution report on up to 200 rows of customer segment observations (account_count or revenue_amount fields) using local analytical engines.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on my customer segment data — here are 4 rows with row_id, company_group, date, account_count, and revenue_amount — and analyze the account_count field?","exampleUseCases":[{"title":"Segment data quality check before reporting","prompt":"I have a batch of customer segment records from last quarter — each row has a company group, date, account count, and revenue amount. Can you audit them for record quality issues and show me the numeric distribution of account_count?"},{"title":"Revenue distribution profiling across company groups","prompt":"Here are 150 rows of customer segment observations with revenue_amount values across different company groups. Run the numeric distribution report on revenue_amount so I can see how spread out the figures are."},{"title":"Pre-pipeline data validation for segment feed","prompt":"Before I load these customer segment rows into our pipeline, can you audit them for quality issues — duplicates, missing values, that kind of thing — and also give me a distribution summary of the account_count field across all 80 rows?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit highlighting issues such as missing values, duplicate keys, and data integrity problems across the supplied rows; and (2) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram) for the selected field (account_count or revenue_amount). Both reports are computed locally without external lookups.","failureModes":["Rows array is empty or exceeds 200 items — request rejected","Required fields (row_id, company_group, date, account_count, revenue_amount) missing from one or more rows — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Invalid field selector (not account_count or revenue_amount) — schema error","Payment not attached or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric distribution profile for customer segment observation data (account_count or revenue_amount) on up to 200 rows in a single low-cost call. Prefer it over general-purpose data tools when your data is already structured in the expected schema and you want two targeted analytical reports for $0.01 USDC without any external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T00:52:24.398Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-record-quality-audit-numeric-distribution-d5521d2e"}