{"uid":"cap_GLjjoIeBcYJmcLrZVwkB4","slug":"business-event-participation-duplicate-key-report-iqr-outlier-flags-5444bf12","name":"Business Event Participation — Duplicate Key Report + IQR Outlier Flags","description":"Business event participation — Duplicate key report + IQR outlier flags: Duplicate key report + 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-19-065?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_v_epwOOY2YRMKJB0-ItE3","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 up to 200 business event participation records to produce a duplicate key report and IQR-based outlier flags for attendee_count or company_count fields.","exampleAgentPrompt":"Check my business event participation records for duplicate row IDs and flag any IQR outliers in the attendee_count field — here are my rows: [{\"row_id\":\"r1\",\"company_group\":\"group-a\",\"date\":\"2025-01-10\",\"attendee_count\":50,\"company_count\":3},{\"row_id\":\"r1\",\"company_group\":\"group-b\",\"date\":\"2025-01-11\",\"attendee_count\":900,\"company_count\":2}].","exampleUseCases":[{"title":"Audit event attendance for data anomalies","prompt":"I have 150 rows of business event participation data and I need to check the attendee_count column for IQR outliers and also find any duplicate row IDs before I import it into our CRM — can you run both checks?"},{"title":"Flag suspicious company counts before reporting","prompt":"Before I send out our quarterly event report, can you scan these business event records and flag any rows where company_count looks like an outlier based on IQR, and also catch any duplicate keys in the dataset?"},{"title":"Data quality check on event pipeline output","prompt":"Our event data pipeline just produced 80 participation rows — can you run a duplicate key check and IQR outlier detection on the company_count field to make sure nothing looks wrong before we archive it?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) an IQR outlier flag report marking rows where the selected numeric field (attendee_count or company_count) falls outside the interquartile range bounds. Results cover up to 200 input rows with no external lookups or live data.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected, max items exceeded","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, company_group, date, attendee_count, company_count) — schema error","Invalid field enum value (must be attendee_count or company_count) — rejected","Numeric values outside allowed range — schema rejection","Payment not provided or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical data quality checks — specifically duplicate key detection and IQR-based outlier flagging — on business event participation data (attendee and company counts) without any external API calls, live lookups, or ML predictions. Ideal for pre-import validation, pipeline QA, or lightweight audits on up to 200 rows at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:02.431Z","isFirstParty":false,"canonicalSlug":"business-event-participation-duplicate-key-report-iqr-outlier-flags-5444bf12"}