{"uid":"cap__uHRryUXCKRR7cEvKgGVJ","slug":"business-event-participation-iqr-outlier-flags-explicit-missing-value-916839f7","name":"Business Event Participation IQR Outlier Flags + Explicit Missing-Value Fill","description":"Business event participation — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill for supplied business event participation records (attendee_count, company_count). 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-19-180?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","attendee_count","company_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"attendee_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_count":1,"company_group":"group-a","attendee_count":10},{"date":"2026-10-02","row_id":"row-2","company_count":2,"company_group":"group-b","attendee_count":20},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":15},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["attendee_count","company_count"],"type":"string","default":"attendee_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_HhakOQieY9IAyLPI5dscy","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":"Detects IQR-based outliers and fills missing values in business event participation records (attendee_count, company_count) for up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"Can you run IQR outlier detection and fill missing values using median on my business event participation data — I have about 50 rows with attendee_count and company_count fields, and I want both reports back?","exampleUseCases":[{"title":"Cleaning conference attendance dataset","prompt":"I have 120 rows of conference attendance data with attendee_count and company_count — can you flag any IQR outliers and fill the missing attendee_count values using the median? I need both reports."},{"title":"Detecting anomalous company participation","prompt":"Run IQR outlier flagging on my business event participation records for company_count, and fill any missing company_count values with zero — I have about 80 rows grouped by company_group and dated across October 2026."},{"title":"Pre-analysis data quality check for event data","prompt":"Before I analyze my event participation data, can you check it for IQR-based outliers and impute missing attendee_count values using the mean? There are 200 rows with row IDs, dates, company groups, and both count fields."}],"resultDescription":"Two analytical reports per call: (1) IQR outlier flags identifying which rows have extreme values in the specified field, and (2) a missing-value fill report showing which null/missing values were imputed and with what values, covering up to 200 input rows of business event participation data.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, company_group) causes rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Invalid method enum (not zero/mean/median) causes error","Invalid field enum (not attendee_count/company_count) causes error","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have business event participation data (up to 200 rows) and need both IQR-based outlier detection and missing-value imputation in a single low-cost call ($0.01 USDC). It is best suited for offline/batch data cleaning workflows where no live lookup, prediction, or external action is needed — purely local statistical analysis on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:45.182Z","isFirstParty":false,"canonicalSlug":"business-event-participation-iqr-outlier-flags-explicit-missing-value-916839f7"}