{"uid":"cap_4zI4N8MvNCPG_SQw5vDG5","slug":"business-event-participation-exact-row-deduplication-explicit-missing-703684dc","name":"Business Event Participation — Exact Row Deduplication + Explicit Missing-Value Fill","description":"Business event participation — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + 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-19-054?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"}}},"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_fpSj3O0p7Hjge7-iPA0OY","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 exact duplicate rows and fills missing values in business event participation data (attendee_count, company_count) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Clean up my business event participation records — remove any exact duplicate rows and fill in missing attendee_count values using median imputation; here are up to 200 rows with row_id, company_group, date, attendee_count, and company_count fields.","exampleUseCases":[{"title":"Conference attendance data cleanup","prompt":"I have a spreadsheet of conference attendance records with duplicate entries and some missing attendee_count values — can you deduplicate the exact duplicate rows and fill in the missing attendee counts using median imputation? I have about 150 rows with row_id, company_group, date, attendee_count, and company_count."},{"title":"Event pipeline preprocessing","prompt":"Before I run my event analytics, I need to clean my business event participation data: remove exact duplicate rows and impute any null company_count values using zero fill. Here are my 80 event rows with row_id, company_group, date, attendee_count, and company_count."},{"title":"Trade show participation data repair","prompt":"My trade show participation dataset has some duplicate records and missing company_count entries — please deduplicate exact row matches and fill missing company_count values using the mean across my 200 rows."}],"resultDescription":"Two analytical reports covering: (1) exact row deduplication results showing which rows were removed as duplicates, and (2) explicit missing-value fill results showing which rows had null attendee_count or company_count values replaced using the chosen method (zero, mean, or median). No external lookups or predictions are performed — all processing uses local analytical engines on the supplied data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) in any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid method enum value (not zero, mean, or median) — schema validation error","Invalid field enum value (not attendee_count or company_count) — schema validation error","Empty input array (minItems:1 violated) — request rejected","Numeric values outside allowed range (±1 trillion) — validation error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local data quality processing on business event participation records specifically — no external API calls, no ML predictions, just deterministic deduplication and missing-value imputation. Ideal for preprocessing pipelines before analytics when you have up to 200 rows of event attendance data with potential duplicates or null values in attendee_count or company_count. Prefer this over general-purpose ETL tools when you want two bundled reports (dedup + imputation) in a single low-cost ($0.01 USDC) call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:56:33.900Z","isFirstParty":false,"canonicalSlug":"business-event-participation-exact-row-deduplication-explicit-missing-703684dc"}