{"uid":"cap_yrT2GHgC0RTIov75wb2iQ","slug":"business-event-participation-iqr-outlier-flags-secondary-measure-f0a42dd3","name":"Business Event Participation — IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Business event participation — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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-19-177?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"}}},"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_ICJHMtvrtRrX-hoQiSRgI","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":"Analyzes business event participation records (attendee_count, company_count) to flag IQR-based outliers and compute a secondary-measure weighted mean, producing two analytical reports per call.","exampleAgentPrompt":"I have up to 200 rows of business event participation data with attendee_count and company_count fields — can you flag the IQR outliers and compute the secondary-measure weighted mean for attendee_count across groups like group-a and group-b, with dates like 2026-10-01?","exampleUseCases":[{"title":"Outlier detection in conference attendance","prompt":"I've got a batch of 50 event records tracking attendee_count and company_count by company group and date — can you flag which rows are IQR outliers and also give me the weighted mean for attendee_count?"},{"title":"Data quality check on trade show data","prompt":"We collected participation data from several trade shows with row IDs, dates, company groups, attendee counts, and company counts. Run IQR outlier flags and the secondary-measure weighted mean on company_count so I can spot anomalies before reporting."},{"title":"Event analytics for multi-group participation","prompt":"I have business event records for group-a and group-b spanning multiple dates in October 2026, with attendee and company counts — please run both the IQR outlier detection and the weighted mean analysis on attendee_count for all rows."}],"resultDescription":"Two analytical reports: (1) per-row IQR outlier flags indicating which records fall outside the interquartile range for the specified field, and (2) a secondary-measure weighted mean computed across the supplied business event participation rows. Results are derived entirely from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in the selected field may affect outlier and mean calculations","Fewer than 4 rows may produce unreliable IQR statistics","Payment of 0.01 USDC not completed — request not processed"],"whenToPreferThis":"Choose this endpoint when you have tabular business event participation data (up to 200 rows) and need both IQR-based outlier detection and a secondary-measure weighted mean in a single call. It is ideal for data quality checks, anomaly detection in event attendance, and descriptive statistical summaries without needing external data sources, live lookups, or prediction capabilities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:56:04.176Z","isFirstParty":false,"canonicalSlug":"business-event-participation-iqr-outlier-flags-secondary-measure-f0a42dd3"}