{"uid":"cap_tMTdpsHgwyc2VkIqomZ1f","slug":"business-event-participation-daily-sum-series-trailing-mean-series-66a1c2bd","name":"Business Event Participation — Daily Sum Series + Trailing Mean Series","description":"Business event participation — Daily sum series + Trailing mean series: Daily sum series + 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-19-136?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_cIG1uNZI8zwNVuOGKG85A","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 daily sum series and trailing moving-average series for business event participation data (attendee_count or company_count) across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Take my business event participation records for October 2026 — up to 4 rows with fields like date, attendee_count, and company_count — and give me both a daily sum series and a trailing mean series with a window of 2, focusing on attendee_count.","exampleUseCases":[{"title":"Conference attendance trend smoothing","prompt":"I have daily attendance data from our industry conference across 50 rows — each with a date, row_id, company_group, attendee_count, and company_count. Can you compute the daily sum series and a trailing mean series with a window of 7 for attendee_count so I can see smoothed attendance trends?"},{"title":"Company participation rolling analysis","prompt":"Here are 120 rows of business event records with dates and company_count values — can you run both a daily sum series and a trailing mean series using a window of 5 on company_count to understand how many unique companies participated each day on a rolling basis?"},{"title":"Multi-group event data aggregation","prompt":"I've got participation data from multiple company groups attending a series of events over 30 days — about 80 rows total with attendee_count and company_count. Please generate the daily sum series and trailing mean series (window of 3) for attendee_count so I can spot day-over-day patterns."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series aggregating the selected metric (attendee_count or company_count) by date, and (2) a trailing mean series computed over the specified window size — both derived from the supplied business event participation rows without any external data lookup.","failureModes":["Input rows exceed 200 item limit — request rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) on any row — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Window size outside 2–200 range — parameter validation error","Field value not in enum ['attendee_count', 'company_count'] — rejected","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have pre-collected business event participation data (up to 200 rows) and need two time-series reports — a daily sum and a trailing moving average — computed locally without any external lookups. It is ideal for batch offline analytics on attendee or company counts when you want both aggregation and smoothing in a single low-cost ($0.01 USDC) call. Prefer alternatives if you need live event data, predictions, more than 200 rows, or a different analytical operation such as correlation, histogram, or grouped summary.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:51.439Z","isFirstParty":false,"canonicalSlug":"business-event-participation-daily-sum-series-trailing-mean-series-66a1c2bd"}