{"uid":"cap_fXs1QfyDR_XnDX7W5J_Hq","slug":"business-event-participation-trailing-mean-series-explicit-missing-36c87dd8","name":"Business Event Participation — Trailing Mean Series + Explicit Missing-Value Fill","description":"Business event participation — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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-19-154?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"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_rENlUqs1qa4cWn231lLqj","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 moving mean series and fills missing values for business event participation data (attendee_count, company_count) over up to 200 rows.","exampleAgentPrompt":"Take my business event participation records — up to 50 rows with attendee_count and company_count, grouped by company — and produce a trailing mean series with a window of 3 and fill any missing attendee_count values using the median method.","exampleUseCases":[{"title":"Conference attendance trend smoothing","prompt":"I have 100 rows of weekly conference attendance data with attendee_count and company_count per company group. Can you apply a trailing mean with a window of 4 and fill any missing attendee_count values using zero so I can see the smoothed trend?"},{"title":"Missing company count imputation for trade show data","prompt":"My trade show participation dataset has some null company_count values. Please run a trailing mean series with window size 5 and fill those missing company_count entries using the mean method across my 80 rows of event records."},{"title":"Quarterly event participation analysis by group","prompt":"I need two analytical reports on our quarterly business event participation records — 150 rows grouped by company — compute the trailing mean over a window of 6 for attendee_count and use median to fill any gaps."}],"resultDescription":"Returns two analytical reports: a trailing mean series showing the rolling average over the specified window for the target field (attendee_count or company_count), and a version of the dataset with explicit missing values filled using the chosen method (zero, mean, or median). Both reports operate on the same supplied rows of up to 200 records.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Window size outside range 2–200 — validation error","Unknown fill method or field enum value — validation error","Missing required fields (row_id, company_group, date) in any row — schema error"],"whenToPreferThis":"Choose this endpoint when you need both a rolling/trailing mean time series AND explicit missing-value imputation on business event participation data (attendee_count or company_count) in a single low-cost call. It is purpose-built for event participation metrics with grouped company data, produces two reports at once, and requires no external data — ideal for offline analytical pipelines processing batches of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:42.864Z","isFirstParty":false,"canonicalSlug":"business-event-participation-trailing-mean-series-explicit-missing-36c87dd8"}