{"uid":"cap_K94RTodlOmPANfX5Xqf1p","slug":"business-event-participation-record-quality-audit-iqr-outlier-flags-48af549f","name":"Business Event Participation — Record Quality Audit + IQR Outlier Flags","description":"Business event participation — Record quality audit + IQR outlier flags: Record quality audit + 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-19-014?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_WjS7rgwumhebIGtGRYvRB","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":"Audits data quality and flags IQR-based outliers in business event participation records (attendee_count, company_count) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you run a data quality audit and flag any IQR outliers on my business event participation records for the attendee_count field? I have about 50 rows with fields like row_id, company_group, date, attendee_count, and company_count.","exampleUseCases":[{"title":"Pre-analysis event data cleanup","prompt":"Before I analyze our Q3 conference attendance data, can you audit the data quality and flag any IQR outliers in the attendee_count field? I'll send you 120 rows with row_id, company_group, date, attendee_count, and company_count."},{"title":"Detecting anomalous company participation","prompt":"I want to check if any of our business event records have unusually high or low company_count values — can you run an IQR outlier check and quality audit on these 80 rows of event participation data?"},{"title":"Validating event data pipeline output","prompt":"Our data pipeline just generated 150 rows of business event participation records. Can you do a record quality audit and flag IQR outliers on the company_count field so I can catch any bad data before it goes into reporting?"}],"resultDescription":"Returns 2 independent reports: (1) a record quality audit covering completeness, format validity, and data integrity issues per row, and (2) IQR-based outlier flags identifying which rows have statistically anomalous values in the selected field (attendee_count or company_count), all computed locally without external lookups.","failureModes":["Exceeding 200 rows returns an error — batch must be split","Missing required fields (row_id, company_group, date, attendee_count, company_count) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in the selected numeric field may reduce outlier detection accuracy","Empty rows array returns an error (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit and IQR outlier detection specifically for business event participation records with attendee and company count fields, in batches up to 200 rows. It is ideal for pre-analysis data validation pipelines where no live lookup, prediction, or external action is needed — just fast, local statistical analysis at low cost ($0.01 per call for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:39.174Z","isFirstParty":false,"canonicalSlug":"business-event-participation-record-quality-audit-iqr-outlier-flags-48af549f"}