{"uid":"cap_LiDILbwg_fR2OYFyvDGIj","slug":"business-event-participation-numeric-distribution-trailing-mean-series-b75c2acb","name":"Business Event Participation — Numeric Distribution + Trailing Mean Series","description":"Business event participation — Numeric distribution + Trailing mean series: Numeric distribution + 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-19-076?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_WpZ7Vp7Efm5vaMQNBmGlU","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 numeric distribution statistics and a trailing mean time series for business event participation data (attendee_count or company_count) across up to 200 supplied rows.","exampleAgentPrompt":"I have 4 rows of business event participation data — attendee_count and company_count per date — and I want both a numeric distribution report and a trailing mean series for attendee_count using a window of 2. Can you run those two analyses on my supplied records?","exampleUseCases":[{"title":"Conference attendance trend analysis","prompt":"I have 50 rows of monthly conference participation records with dates, attendee counts, and company counts. Can you give me a numeric distribution and trailing mean series for attendee_count using a 5-period window so I can spot trends?"},{"title":"Corporate event company participation review","prompt":"We tracked company participation across 120 trade show events — each row has a date, company group, and company_count. Run a distribution summary and trailing mean series on company_count with a window of 10 so I can see how participation has shifted."},{"title":"Event series baseline statistics","prompt":"I've got 30 rows of business event data spanning last quarter, with attendee_count per event date. Can you compute the numeric distribution and a trailing mean with a window of 3 for attendee_count so I can establish a baseline?"}],"resultDescription":"Two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram-style breakdown) for the selected field (attendee_count or company_count), and (2) a trailing mean time series computed over the specified window size — both derived entirely from the supplied rows with no external lookups.","failureModes":["Input rows array is empty or missing — validation error","row_id values are missing or exceed 80 characters — schema validation failure","Date fields do not match YYYY-MM-DD pattern — rejected by pattern validation","Numeric values for attendee_count or company_count exceed allowed range — error","More than 200 rows submitted — rejected by maxItems constraint","Window value less than 2 or greater than 200 — schema validation failure","Field enum value not 'attendee_count' or 'company_count' — rejected"],"whenToPreferThis":"Choose this endpoint when you have pre-collected business event participation records (up to 200 rows) and need both a distribution summary and a trailing mean time series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch statistical analysis of event data without requiring any external data sources, predictions, or live lookups. Prefer it over general-purpose analytics tools when you want lightweight, local computation for event attendance or company participation metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:17.637Z","isFirstParty":false,"canonicalSlug":"business-event-participation-numeric-distribution-trailing-mean-series-b75c2acb"}