{"uid":"cap_I2GP2sCIsbx30GaNJ9PIs","slug":"business-event-participation-numeric-row-ordering-explicit-missing-745e3d0e","name":"Business Event Participation — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Business event participation — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-19-124?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_7RfwadPzz0ZqeXXCQxHdU","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":"Assigns numeric row order rankings and fills missing values (zero, mean, or median) for business event participation records containing attendee and company counts.","exampleAgentPrompt":"I have a list of up to 200 business event participation records with attendee_count and company_count fields — some values are missing. Can you rank the rows numerically by order and fill in the missing attendee_count values using the median?","exampleUseCases":[{"title":"Clean conference attendance dataset","prompt":"I have 150 rows of conference participation data with some missing attendee_count values. Can you rank the rows numerically and fill in those missing attendee counts using the median so I can run my analysis?"},{"title":"Impute missing company counts with zero","prompt":"My event participation dataset has null company_count entries for a few rows across groups like 'group-a' and 'group-b'. Please assign row order numbers and fill the missing company_count values with zero."},{"title":"Prepare event data with mean imputation","prompt":"Can you take my 80 rows of business event participation records — with dates, company groups, attendee counts, and company counts — rank them numerically and fill any missing attendee_count gaps using the mean?"}],"resultDescription":"Returns two analytical reports for the supplied dataset (up to 200 rows): one with numeric row order rankings assigned, and one with explicit missing-value imputation applied to the selected field (attendee_count or company_count) using the chosen fill method (zero, mean, or median). No external data sources are used; all computation is local.","failureModes":["Input array exceeds 200 rows — rejected","Missing required fields (row_id, date, company_group) on any row — validation error","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — minItems violation","Invalid enum value for field or method parameters — rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 business event participation records and need both numeric row ordering and missing-value imputation (zero, mean, or median) applied to attendee_count or company_count fields in a single low-cost call. It is ideal for lightweight, offline data cleaning and preparation without any live lookups or external dependencies. Prefer this over general-purpose analytics tools when you need a cheap, deterministic, local computation on structured event participation data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:52.614Z","isFirstParty":false,"canonicalSlug":"business-event-participation-numeric-row-ordering-explicit-missing-745e3d0e"}