{"uid":"cap_AY5wrsZBpZvNpIgYPpOmx","slug":"business-event-participation-analytics-quality-audit-deduplication-0046ada2","name":"Business Event Participation Analytics — Quality Audit, Deduplication & Trailing Mean","description":"Business event participation — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied business event participation records (attendee_count, company_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-19-216?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_XopAl9bodzhUDkSi3gW3g","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 three local analytical reports on business event participation data: record quality audit, exact row deduplication, and trailing mean series for attendee or company counts.","exampleAgentPrompt":"Can you run a quality audit, exact deduplication check, and trailing mean series (window of 3) on this event participation data — rows with attendee_count and company_count fields by company_group and date — and give me all three reports?","exampleUseCases":[{"title":"Conference data cleanup before reporting","prompt":"I have up to 150 rows of conference participation records with attendee_count and company_count per date and company group. Can you audit them for quality issues, flag any exact duplicate rows, and compute a trailing mean of attendee_count with a window of 5?"},{"title":"Rolling average for event series dashboard","prompt":"Run a trailing mean series on my business event participation data — I want to track the rolling average of company_count over a window of 4 periods across these 80 rows organized by company_group and date."},{"title":"Pre-analysis deduplication of event registrations","prompt":"Before I analyze this dataset, can you check these 200 event participation rows for record quality problems and exact duplicates? The rows have attendee_count and company_count by date and company_group."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, invalid, or malformed fields; (2) an exact row deduplication report identifying identical records; and (3) a trailing mean time series for the selected numeric field (attendee_count or company_count) computed over the specified window size — all derived locally from the supplied data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, company_group, attendee_count, company_count) cause validation errors","Invalid date format (non-YYYY-MM-DD) triggers schema rejection","Window size outside range 2–200 returns error","Numeric values outside allowed range cause schema validation failure","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously validate data quality, remove duplicates, and compute rolling averages on business event participation data in a single $0.01 call. It is ideal for pre-analysis data cleaning pipelines where attendee and company count records need three standard analytical passes without any external lookup or live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:18.052Z","isFirstParty":false,"canonicalSlug":"business-event-participation-analytics-quality-audit-deduplication-0046ada2"}