{"uid":"cap_dj3Dq6yCBNFcw-I18geIq","slug":"business-event-participation-iqr-outlier-flags-two-measure-correlation-19f43398","name":"Business Event Participation — IQR Outlier Flags + Two-Measure Correlation","description":"Business event participation — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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-19-176?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_q8yCl7LuCpzK7P83ux394","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":"Runs IQR outlier detection and two-measure correlation analysis on business event participation records (attendee_count and company_count) for up to 200 rows, returning two independent statistical reports.","exampleAgentPrompt":"Can you run IQR outlier detection and a two-measure correlation analysis on my business event participation data? I have rows with attendee_count and company_count fields — here's my dataset with up to 200 records, and I want both reports back.","exampleUseCases":[{"title":"Detect anomalous conference attendance rows","prompt":"I have attendance records from our quarterly conferences — each row has a date, company group, attendee count, and company count. Can you flag any outlier rows using IQR analysis and also tell me if attendee count and company count are correlated?"},{"title":"Data quality check before reporting","prompt":"Before I send this event participation report to stakeholders, can you run IQR outlier flags on it and check the correlation between attendee_count and company_count? I've got about 150 rows across several company groups."},{"title":"Spot unusual company group participation","prompt":"We tracked company_count and attendee_count across 80 business networking events this year. Can you identify which events have statistically unusual values using IQR outlier detection, and also run a two-measure correlation between those two fields?"}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have statistically anomalous values for the selected measure, and (2) a two-measure correlation report quantifying the relationship between attendee_count and company_count across the supplied rows.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds limit, request rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Non-numeric values in attendee_count or company_count where numeric expected — type error","Payment not included or insufficient USDC — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have business event participation records with attendee and company count fields and need both IQR-based outlier flagging and a correlation analysis in a single call, without requiring an external data source or live lookup. It is ideal for pre-reporting data quality checks or exploratory statistical analysis on batches of up to 200 rows at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:42.201Z","isFirstParty":false,"canonicalSlug":"business-event-participation-iqr-outlier-flags-two-measure-correlation-19f43398"}