{"uid":"cap_vJedBhemeNk_5h25xs11S","slug":"business-event-participation-record-quality-audit-missing-value-fill-af9efb34","name":"Business Event Participation — Record Quality Audit + Missing-Value Fill","description":"Business event participation — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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-19-019?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_kSBww7IvayQLO1XaeATGc","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 fills missing values (via zero, mean, or median) for business event participation records containing attendee and company counts, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and fill in any missing attendee_count values using the median method on my business event participation data? 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":"I have 120 rows of business event participation records with some null attendee_count fields — can you audit the data quality and fill those missing values using the mean so I can run my analysis cleanly?"},{"title":"Company count null imputation","prompt":"My event dataset has missing company_count entries across several rows — please do a quality audit and fill the blanks using zero imputation, and give me both the audit and fill reports."},{"title":"Conference attendance data validation","prompt":"Before I hand off this conference attendance dataset to the client, can you run a quality check on all 80 rows and fill any missing attendee_count values using the median method?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit summarizing data completeness and issues across the supplied rows, and (2) an explicit missing-value fill report showing imputed values for the specified field (attendee_count or company_count) using the chosen method (zero, mean, or median). Both reports are generated from local analytical engines with no external data lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, company_group, date, attendee_count, company_count) in any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid enum value for field or method parameters","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Empty rows array (minItems: 1 required)","Payment not received or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and missing-value imputation for business event participation records (attendee_count, company_count) in a single low-cost call. It is ideal for pre-processing event datasets before analysis, when you have up to 200 rows and need a structured fill report using zero, mean, or median imputation — without requiring any external data lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:52.071Z","isFirstParty":false,"canonicalSlug":"business-event-participation-record-quality-audit-missing-value-fill-af9efb34"}