{"uid":"cap_uenWUF5ayiGjJRRckFr3t","slug":"customer-segment-observations-equal-width-histogram-iqr-outlier-flags-a1788aba","name":"Customer Segment Observations — Equal-Width Histogram + IQR Outlier Flags","description":"Customer segment observations — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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-16-170?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"}}},"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_oN1bIvnuCv1yWmh0HuuVz","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 equal-width histogram distribution and IQR-based outlier flags for customer segment observation records (account_count or revenue_amount) across up to 200 rows.","exampleAgentPrompt":"Run an equal-width histogram with 10 bins and IQR outlier flagging on my customer segment data for the revenue_amount field — here are my rows: row-1 group-a 2024-01-01 account_count=50 revenue_amount=1200, row-2 group-b 2024-01-02 account_count=80 revenue_amount=9800, row-3 group-a 2024-01-03 account_count=45 revenue_amount=1100.","exampleUseCases":[{"title":"Detecting revenue outliers in sales segments","prompt":"I have 150 rows of customer segment data with company groups and monthly revenue figures — can you run the IQR outlier detection and equal-width histogram on the revenue_amount field using 8 bins so I can spot which segments are behaving unusually?"},{"title":"Analyzing account count distribution across groups","prompt":"Take these 80 customer segment records with account_count values and give me the equal-width histogram with 5 bins plus flag any IQR outliers in account_count — I want to understand how account volume is distributed across my company groups."},{"title":"Quarterly segment audit for business review","prompt":"Before our Q4 business review, can you run the histogram and IQR outlier analysis on this batch of 200 customer segment observations for the revenue_amount field with 10 bins? I need to know which data points are statistical outliers."}],"resultDescription":"Returns two analytical reports: (1) an equal-width histogram showing how values of the selected field (account_count or revenue_amount) are distributed across the specified number of bins, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range boundaries. Both reports are generated from the supplied row data using local analytical engines with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Invalid date format in rows — must match YYYY-MM-DD pattern","Missing required row fields (row_id, company_group, date, account_count, revenue_amount)","Bin count outside 1–30 range","Invalid field selector — must be 'account_count' or 'revenue_amount'","Null values in the selected numeric field may affect histogram or IQR calculations"],"whenToPreferThis":"Choose this endpoint when you have up to 200 customer segment observation records and need both a distribution histogram and IQR outlier detection in a single paid call for either account_count or revenue_amount fields. It is well-suited for lightweight, self-contained statistical QA on tabular customer segment data without needing an external analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:31.736Z","isFirstParty":false,"canonicalSlug":"customer-segment-observations-equal-width-histogram-iqr-outlier-flags-a1788aba"}