{"uid":"cap_geZ8rrej2aiEDS5qCuiiZ","slug":"business-event-participation-date-category-pivot-missing-value-fill-019f226a","name":"Business Event Participation — Date×Category Pivot + Missing-Value Fill","description":"Business event participation — Date by category pivot + Explicit missing-value fill: Date by category pivot + 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-19-189?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_xHTYI2Lh3EWWdO9tTxn-8","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":"Pivots business event participation data (attendee_count or company_count) by date and company group, filling missing values via zero, mean, or median imputation — returns two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have business event participation records with attendee_count and company_count across different company groups and dates — can you pivot them by date and company group using median fill for missing values? Here are up to 200 rows I want two reports from.","exampleUseCases":[{"title":"Conference attendance cross-tab by company group","prompt":"I have 150 rows of conference participation data with dates, company groups, and attendee counts — pivot them into a date-by-company-group table and fill any gaps using the median method so I can see attendance patterns clearly."},{"title":"Zero-fill missing company counts before reporting","prompt":"My event dataset has some null company_count values across different company groups and dates — can you pivot it by date and company group and fill the missing entries with zero so the report is complete?"},{"title":"Mean-imputed attendance matrix for trend analysis","prompt":"Can you take these business event participation records and build a date-by-category pivot for attendee_count, using mean imputation for any missing cells? I need two clean summary reports from the 80 rows I'm providing."}],"resultDescription":"Two analytical reports derived from the supplied event participation rows: (1) a date×company_group pivot table for the selected field (attendee_count or company_count), and (2) the same dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Up to 200 input rows are supported per call.","failureModes":["Input rows exceed 200 — request rejected or truncated","Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array (minItems:1 not satisfied) causes error","Unrecognized field or method enum value causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you need to reshape business event participation records into a date×category pivot table and simultaneously impute missing numeric values — all in a single, cheap ($0.01 USDC) local analytical call requiring no external lookups. Prefer it over general-purpose data tools when your data fits the specific schema (row_id, company_group, date, attendee_count, company_count) and you want two bundled reports (pivot + filled dataset) in one request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:17.738Z","isFirstParty":false,"canonicalSlug":"business-event-participation-date-category-pivot-missing-value-fill-019f226a"}