{"uid":"cap_K383ZNXOCjRotbYVd-WbC","slug":"business-event-participation-trailing-mean-series-date-by-category-b4c052cb","name":"Business Event Participation – Trailing Mean Series & Date-by-Category Pivot","description":"Business event participation — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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-19-152?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_iGRSbcM5T1j-2Y34C0hUj","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 a trailing mean time series and a date-by-category pivot table for supplied business event participation data (attendee_count, company_count) in a single call.","exampleAgentPrompt":"I have 150 rows of business event records with attendee_count and company_count per company_group and date — can you run a trailing mean series with a window of 3 and a date-by-category pivot on the attendee_count field?","exampleUseCases":[{"title":"Smoothing conference attendance trends","prompt":"I have records from our quarterly conference series — each row has a date, company group, attendee count, and company count. Can you compute a trailing mean with a window of 4 on attendee_count and also give me a pivot of attendance by date and company group?"},{"title":"Comparing company participation across event segments","prompt":"Here are 80 rows of our trade show participation data with dates, company groups, attendee counts, and company counts — run a trailing mean (window of 5) and a date-by-category pivot on the company_count field so I can see how different segments trend over time."},{"title":"Executive report prep for event analytics","prompt":"I need two quick analytics reports on our event participation dataset — a rolling 3-period mean series and a date-by-company-group pivot table, both using the attendee_count column. I have about 120 rows ready to send."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean series showing the rolling average of the selected metric (attendee_count or company_count) over the specified window, and (2) a date-by-category pivot table grouping values by date and company_group — both computed locally from the supplied row data, with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Date fields not matching YYYY-MM-DD pattern — validation error","Window size outside the range 2–200 — rejected","Numeric fields outside ±1,000,000,000,000 — rejected","Missing required row fields (row_id, company_group, date, attendee_count, company_count) — schema validation failure","Invalid field enum value (not attendee_count or company_count) — error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of structured business event participation records and need both a trailing moving average time series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical summaries where no live data lookup, prediction, or external enrichment is required — just fast local computation on data you already have.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:19.369Z","isFirstParty":false,"canonicalSlug":"business-event-participation-trailing-mean-series-date-by-category-b4c052cb"}