{"uid":"cap_g6WT9Q9LEfV4Byv0BOo6M","slug":"business-event-participation-trailing-mean-series-keyed-dataset-d8afd73d","name":"Business Event Participation — Trailing Mean Series + Keyed Dataset Comparison","description":"Business event participation — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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-19-153?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"attendee_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_count":1,"company_group":"group-a","attendee_count":10},{"date":"2026-10-02","row_id":"row-2","company_count":2,"company_group":"group-b","attendee_count":20},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":15},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["attendee_count","company_count"],"type":"string","default":"attendee_count"},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","attendee_count","company_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":17},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":33}],"maxItems":200,"minItems":0},"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_F583KHa1dXk3v7ufEIaa4","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":"Computes trailing mean time series and keyed dataset comparison reports for business event participation data (attendee_count, company_count) across up to 200 rows.","exampleAgentPrompt":"Can you run a trailing mean series and keyed dataset comparison on our business event participation data? I have two sets of up to 200 rows each with attendee_count and company_count by date and company_group — I want to analyze the attendee_count field.","exampleUseCases":[{"title":"Conference attendance trend analysis","prompt":"I have monthly conference attendance records for the past year split across two company groups — can you compute a trailing mean series and compare the two datasets on attendee_count to see how participation trends differ?"},{"title":"Trade show company participation benchmark","prompt":"We ran two rounds of trade shows and I want to compare company_count across both datasets using a keyed comparison and also get a trailing mean series — can you analyze both rounds for me?"},{"title":"Event portfolio rolling average reporting","prompt":"I've got two sets of event participation records, each with dates, company groups, attendee counts and company counts. Please run a trailing mean and keyed dataset comparison on the company_count field so I can see where participation is growing."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean time series showing rolling average values of the selected field (attendee_count or company_count) over the supplied rows, and (2) a keyed dataset comparison that matches rows between the primary and comparison dataset by key to surface differences. Both reports are computed locally using shared analytical engines with no external lookups.","failureModes":["Missing required fields (row_id, company_group, date, attendee_count, company_count) causes validation error","Exceeding 200 rows per dataset returns an error","Invalid date format (non YYYY-MM-DD) fails pattern validation","Empty rows array rejected (minItems: 1)","Null values in numeric fields may affect trailing mean computation","Mismatched row keys between primary and comparison dataset may reduce keyed comparison coverage"],"whenToPreferThis":"Choose this endpoint when you have structured business event participation data and need both a rolling/trailing mean time series and a side-by-side keyed comparison between two datasets in a single call. Ideal for event analytics workflows where you want trend smoothing and dataset benchmarking together without building custom analytics pipelines. Best suited for up to 200 rows of date-stamped, grouped participation records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:59.894Z","isFirstParty":false,"canonicalSlug":"business-event-participation-trailing-mean-series-keyed-dataset-d8afd73d"}