{"uid":"cap_GbzceiJ2Qf66ltJdwTDOi","slug":"business-event-participation-category-frequencies-iqr-outlier-flags-158f00b4","name":"Business Event Participation — Category Frequencies + IQR Outlier Flags","description":"Business event participation — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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-19-107?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_qH1op51YLBvCM0C3AFfDf","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 category frequency distributions and IQR-based outlier flags for business event participation data (attendee_count and company_count) across up to 200 rows.","exampleAgentPrompt":"Can you analyze these business event participation records — I have 4 rows with attendee_count and company_count for groups A and B across early October 2026 — and give me the category frequencies plus flag any IQR outliers in the attendee_count field?","exampleUseCases":[{"title":"Conference attendance anomaly detection","prompt":"I have a dataset of 50 business event rows with attendee counts and company group labels — can you compute the category frequencies and flag any IQR outliers in the attendee_count field so I can spot unusual events?"},{"title":"Company participation distribution report","prompt":"Here are 120 rows of our trade show participation records with company_group and company_count columns — run a category frequency analysis and IQR outlier detection on the company_count field for me."},{"title":"Event data quality audit","prompt":"Before I present our quarterly event report, can you check these 80 rows of business event participation data and tell me the category frequencies and which rows are IQR outliers for attendee_count?"}],"resultDescription":"Returns two independent analytical reports for the supplied dataset: (1) category frequency counts broken down by the categorical fields (e.g., company_group), and (2) IQR-based outlier flags identifying which rows have statistically anomalous values in the selected numeric field (attendee_count or company_count). No external data is fetched; all analysis is performed locally on the submitted rows.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","Required fields (row_id, company_group, date, attendee_count, company_count) missing from one or more rows — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","All values in numeric field are null — IQR computation may return empty or undefined outlier flags","Field selector value not in allowed enum — rejected with schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of business event participation data and need both a categorical frequency summary and IQR-based outlier detection in a single low-cost call ($0.01 USDC for both reports). Ideal for lightweight, offline statistical QA on structured event records without needing a full analytics platform or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:49:00.276Z","isFirstParty":false,"canonicalSlug":"business-event-participation-category-frequencies-iqr-outlier-flags-158f00b4"}