{"uid":"cap_47tkFVMf437l_IFFX-6f1","slug":"customer-segment-observations-numeric-distribution-missing-value-fill-3aaa5923","name":"Customer Segment Observations — Numeric Distribution & Missing-Value Fill","description":"Customer segment observations — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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-16-085?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_Jo24LJxSnvt4J--41vpne","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 numeric distribution statistics and fills missing values (zero, mean, or median) for customer segment observation records (account_count, revenue_amount) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have up to 200 rows of customer segment observations with account_count and revenue_amount fields — can you run a numeric distribution report AND fill any missing revenue_amount values using median imputation, for company groups like group-a and group-b across dates like 2026-10-01?","exampleUseCases":[{"title":"SaaS segment account count analysis","prompt":"I've got 150 rows of customer segment data with account_count and revenue_amount per company group and date — please give me the numeric distribution for account_count AND fill any nulls in account_count using mean imputation."},{"title":"Revenue data quality cleanup","prompt":"My customer segment dataset has some missing revenue_amount entries across several company groups — can you fill those gaps using zero imputation and also show me the full numeric distribution for revenue_amount across all 80 rows?"},{"title":"Quarterly segment reporting prep","prompt":"Before I build my quarterly segment report, I need numeric distribution stats and median-filled missing values for the account_count field across my 200 rows of company group observations — can you run both reports at once?"}],"resultDescription":"Two analytical reports: (1) a numeric distribution report for the specified field (account_count or revenue_amount) covering statistics such as min, max, mean, median, and spread across the supplied rows; (2) a missing-value fill report showing original null positions and their imputed replacements using the chosen method (zero, mean, or median). Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Rows array empty or missing — request rejected (minItems: 1 required)","Rows exceed 200 items — request rejected (maxItems: 200)","Invalid field value not in enum [account_count, revenue_amount] — validation error","Invalid method value not in enum [zero, mean, median] — validation error","Date strings not matching YYYY-MM-DD pattern — validation error","row_id missing or empty string — validation error","Numeric field values outside ±1,000,000,000,000 range — validation error","Payment not completed via x402 protocol — request not processed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of customer segment observation records and need both a numeric distribution summary AND missing-value imputation in a single $0.01 call. It is purpose-built for account_count and revenue_amount fields segmented by company_group and date, with three imputation strategies (zero, mean, median). Prefer it over general-purpose analytics tools when you want offline, local-engine analysis with no external data access and a predictable flat cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T06:57:24.813Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-numeric-distribution-missing-value-fill-3aaa5923"}