{"uid":"cap_5tJat3zpUzIYofry_WbOR","slug":"customer-segment-observations-equal-width-histogram-explicit-missing-08f195a4","name":"Customer Segment Observations — Equal-Width Histogram + Explicit Missing-Value Fill","description":"Customer segment observations — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + 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-16-175?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_3FEdparTtrnf8mPuZ5XyG","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 an equal-width histogram and fills missing values for up to 200 customer segment observation rows across account_count or revenue_amount fields.","exampleAgentPrompt":"Take my customer segment data — 4 rows with account_count and revenue_amount fields for group-a and group-b from October 2026 — fill any missing account_count values using median, and generate an equal-width histogram with 5 bins.","exampleUseCases":[{"title":"Revenue distribution by customer segment","prompt":"I have 150 rows of customer segment observations with revenue_amount and account_count. Fill any missing revenue_amount values with the mean, then build an equal-width histogram with 10 bins so I can see how revenue is distributed."},{"title":"Missing data cleanup before reporting","prompt":"My customer segment export has some null account_count entries. Can you fill those with zero and then generate a histogram with 8 bins so I can see the frequency distribution before I present this to the team?"},{"title":"Quarterly segment analysis histogram","prompt":"Here are 200 customer segment records from Q3 — each has a company_group, date, account_count, and revenue_amount. Fill missing revenue_amount with the median and give me an equal-width histogram with 5 bins."}],"resultDescription":"Returns two analytical reports: (1) an equal-width histogram showing bin boundaries and frequencies for the selected field (account_count or revenue_amount), and (2) the dataset with explicitly filled missing values using the chosen strategy (zero, mean, or median). Up to 200 rows processed per call.","failureModes":["rows array empty or exceeds 200 items — validation error","required fields (row_id, company_group, date, account_count, revenue_amount) missing from row objects — schema validation failure","date field does not match YYYY-MM-DD pattern — rejected","bins value outside 1–30 range — rejected","numeric values outside ±1,000,000,000,000 — rejected","invalid field or method enum values — rejected"],"whenToPreferThis":"Use this endpoint when you have up to 200 customer segment observation rows and need both missing-value imputation and a histogram distribution report in a single call. It is purpose-built for account_count and revenue_amount fields with company_group and date context, making it ideal for segmented customer analytics pipelines. Prefer this over generic statistics tools when you need the combined histogram + fill workflow in one $0.01 USDC call without external data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:28.332Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-equal-width-histogram-explicit-missing-08f195a4"}