{"uid":"cap_PAIrfktr7pzBAmQy6a1RQ","slug":"business-event-participation-exact-row-deduplication-trailing-mean-bcef1d62","name":"Business Event Participation — Exact Row Deduplication + Trailing Mean Series","description":"Business event participation — Exact row deduplication + Trailing mean series: Exact row deduplication + 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-19-045?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_Bxtxi7GnpX_cSlrzWGRII","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":"Deduplicates business event participation records and computes a trailing mean time series for attendee_count or company_count across up to 200 rows.","exampleAgentPrompt":"Take my business event participation records — each with a row_id, company_group, date, attendee_count, and company_count — deduplicate any exact duplicate rows, then compute a trailing mean series with a window of 3 on the attendee_count field. Here are my rows: [{\"row_id\":\"r1\",\"company_group\":\"alpha\",\"date\":\"2025-01-10\",\"attendee_count\":50,\"company_count\":5},{\"row_id\":\"r2\",\"company_group\":\"beta\",\"date\":\"2025-01-11\",\"attendee_count\":80,\"company_count\":8}].","exampleUseCases":[{"title":"Clean duplicate event records","prompt":"I have a list of up to 150 business event participation entries with attendee_count and company_count — some rows might be exact duplicates. Can you deduplicate them and also give me a trailing mean series with window 4 on attendee_count?"},{"title":"Smooth company attendance trend","prompt":"Here are 120 rows of our trade show participation data by date and company group. Deduplicate the exact repeats and run a trailing mean series on company_count using a window of 5 so I can see the smoothed trend."},{"title":"Audit and analyze conference data","prompt":"I've got event participation records from our annual conference — row IDs, dates, company groups, attendee and company counts. Strip exact duplicate rows and compute a 7-period trailing mean for attendee_count so I can spot attendance patterns."}],"resultDescription":"Returns two analytical reports: (1) the deduplicated set of rows after removing exact duplicate records, and (2) a trailing mean time series for the specified field (attendee_count or company_count) computed over the given window size — both derived from the supplied input rows using local analytical engines.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Window parameter outside range 2–200 — error returned","Field value not in enum ['attendee_count','company_count'] — invalid input","Empty rows array — rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have up to 200 business event participation records and need both exact row deduplication and a trailing mean time series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch data cleaning and smoothing workflows where no live data lookup, external API calls, or predictions are required — all computation runs on supplied data locally.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:49.877Z","isFirstParty":false,"canonicalSlug":"business-event-participation-exact-row-deduplication-trailing-mean-bcef1d62"}