{"uid":"cap_JNf6N6BNyDWgj2KoBVzJi","slug":"business-event-participation-trailing-mean-series-adjacent-row-changes-05de8d84","name":"Business Event Participation — Trailing Mean Series + Adjacent Row Changes","description":"Business event participation — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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-19-146?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_f60NuzBSXUPMLm8emmZD0","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 adjacent row change statistics for business event participation data (attendee_count, company_count) across up to 200 rows.","exampleAgentPrompt":"Can you run a trailing mean series and adjacent row changes analysis on my business event participation data — I have attendee_count and company_count records for about 50 events, and I want to use a window of 5 for the rolling average on the attendee_count field?","exampleUseCases":[{"title":"Conference attendance trend analysis","prompt":"I have 120 rows of conference attendance data with dates and attendee counts — can you compute the trailing mean over a window of 7 and show me how attendance changed between each consecutive row?"},{"title":"Corporate event company participation review","prompt":"Run a trailing mean series with a window of 3 and adjacent row changes on my company_count data for the 'enterprise' group across our 80 quarterly business events."},{"title":"Event ROI time series for reporting","prompt":"I need to analyze attendee_count trends for my trade show participation records — can you calculate the rolling average (window of 10) and row-over-row differences so I can put them in a report?"}],"resultDescription":"Returns two analytical reports: (1) a trailing mean time series showing rolling averages for the selected field (attendee_count or company_count) using the specified window size, and (2) adjacent row changes showing the difference between consecutive row values — all computed locally without external lookups.","failureModes":["Input rows exceeding 200 items will be rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors","Invalid date format (non YYYY-MM-DD) triggers schema rejection","Window size smaller than 2 or larger than 200 is invalid","Null values in the selected metric field may affect trailing mean computation","Payment failure or insufficient USDC balance prevents processing"],"whenToPreferThis":"Choose this endpoint when you need dual statistical reports — rolling/trailing mean and row-over-row delta analysis — on structured business event participation data without any external data lookup or prediction. It is ideal for batch analysis of up to 200 event records where both time-series smoothing and change detection are needed in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:16.785Z","isFirstParty":false,"canonicalSlug":"business-event-participation-trailing-mean-series-adjacent-row-changes-05de8d84"}