{"uid":"cap_JDwURCd3E5mzwuk7fb6VY","slug":"business-event-participation-exact-row-deduplication-iqr-outlier-flags-61cd285d","name":"Business Event Participation — Exact Row Deduplication + IQR Outlier Flags","description":"Business event participation — Exact row deduplication + IQR outlier flags: Exact row deduplication + 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-19-049?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_K284CbNYY7Gj7y9FlpUx9","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":"Deduplicates exact rows and flags IQR-based outliers in business event participation data (attendee_count, company_count) for up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you deduplicate and IQR-flag my event participation dataset for attendee_count? I have about 50 rows with fields row_id, company_group, date, attendee_count, and company_count — I want both the deduplication report and the outlier flags in one go.","exampleUseCases":[{"title":"Clean conference attendance records","prompt":"I have 120 rows of conference participation data with columns for row_id, company_group, date, attendee_count, and company_count — can you remove exact duplicate rows and flag any outliers in attendee_count using IQR so I know which entries are anomalous?"},{"title":"Audit event data before reporting","prompt":"Before I finalize my quarterly event report, can you run deduplication and IQR outlier detection on my company_count field across these 80 business event participation rows? I want to catch any repeated records and unusual spikes."},{"title":"Validate trade show participation metrics","prompt":"I've got trade show participation records — about 150 rows — with attendee_count and company_count per group and date. Can you deduplicate them exactly and flag any IQR outliers in company_count so I can trust the numbers before presenting them?"}],"resultDescription":"Returns two analytical reports: (1) a deduplication report identifying exact duplicate rows in the submitted dataset, and (2) an IQR outlier flagging report marking records whose selected field (attendee_count or company_count) falls outside the interquartile range bounds. No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, company_group, date, attendee_count, company_count) causes a schema rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Payment of 0.01 USDC not included or rejected causes a 402 Payment Required response","Empty rows array (minItems:1 violated) returns an error","Values outside allowed numeric range cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and IQR-based outlier detection on business event participation data (attendee_count and company_count) in a single low-cost call. Ideal for data quality checks on small-to-medium datasets (up to 200 rows) before reporting or analysis. Prefer this over general-purpose data tools when you specifically need the two-report bundle (deduplication + outlier flags) with no external lookup or prediction, at a predictable flat cost of $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:18.165Z","isFirstParty":false,"canonicalSlug":"business-event-participation-exact-row-deduplication-iqr-outlier-flags-61cd285d"}