{"uid":"cap_moVZd6DgCXjyiwuOy5KI2","slug":"business-event-participation-duplicate-key-report-trailing-mean-series-2f0384da","name":"Business Event Participation — Duplicate Key Report + Trailing Mean Series","description":"Business event participation — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean series 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-19-061?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_AWT8XhvjrGx6Kk97mwQrO","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":"Generates two analytical reports on business event participation data: a duplicate key report and a trailing mean series for attendee_count or company_count fields.","exampleAgentPrompt":"Can you run a duplicate key report and a trailing mean series with a window of 3 on my business event participation data — I have about 50 rows tracking attendee_count grouped by company, and I want to analyze the attendee_count field?","exampleUseCases":[{"title":"Event attendance trend smoothing","prompt":"I have 120 rows of daily business event participation records with dates, company groups, and attendee counts — can you compute a trailing mean series with a window of 7 on the attendee_count field and also flag any duplicate row IDs?"},{"title":"Data quality check before reporting","prompt":"Before I submit my quarterly event participation report, can you check these 80 rows for any duplicate keys and give me a trailing mean series with window size 4 on company_count so I can spot anomalies?"},{"title":"Multi-group event company analysis","prompt":"I've got event data across 5 company groups for the past 6 months — around 150 rows — please generate a duplicate key report and a trailing mean with window 5 for the company_count field so I can see participation trends."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values in the supplied records, and (2) a trailing mean series for the selected numeric field (attendee_count or company_count) computed with the specified rolling window size. Both reports are derived locally from the submitted data without any external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected, exceeds maximum","Invalid date format (not YYYY-MM-DD) — schema validation failure","Window size smaller than 2 or larger than 200 — rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) — validation error","Non-numeric values in attendee_count or company_count where numbers are expected — type error","Payment of 0.01 USDC not received — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a data-quality duplicate-key check and a trailing/rolling mean time series on business event participation records in a single low-cost call. It is ideal for event analytics workflows where you already have the data locally and need two independent statistical summaries without any external data enrichment, live lookups, or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:08.193Z","isFirstParty":false,"canonicalSlug":"business-event-participation-duplicate-key-report-trailing-mean-series-2f0384da"}