{"uid":"cap_tCpSc0CvP7zZwIbNOpIBD","slug":"business-event-participation-duplicate-key-report-date-by-category-89cfc5bb","name":"Business Event Participation — Duplicate Key Report + Date by Category Pivot","description":"Business event participation — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot 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-19-068?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"}}},"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_QNJ2xeuXCUll9fvOAp8Mf","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":"Analyzes up to 200 business event participation rows to produce two local analytical reports: a duplicate key report and a date-by-category pivot, for attendee_count or company_count.","exampleAgentPrompt":"Can you check my event participation records for duplicate row IDs and also pivot the attendee_count by date and company group? I have about 50 rows with fields like row_id, company_group, date, attendee_count, and company_count.","exampleUseCases":[{"title":"Duplicate detection in event records","prompt":"I just exported our conference attendance data — about 120 rows with row_id, company_group, date, attendee_count, and company_count. Can you run a duplicate key report on these rows so I can catch any repeated row IDs before I import them into our CRM?"},{"title":"Date pivot for attendance planning","prompt":"I have 80 rows of business event participation data with attendee counts per company group across different dates. Can you pivot the attendee_count by date and company_group so I can see which dates and groups had the most attendance?"},{"title":"Data quality audit before reporting","prompt":"Before I send our quarterly event participation summary to leadership, can you check these 150 rows for any duplicate row IDs and also give me a pivot of company_count by date and company_group? I want to catch any data issues first."}],"resultDescription":"Returns two analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once in the supplied dataset, and (2) a date-by-category pivot table aggregating the selected numeric field (attendee_count or company_count) across dates and company_group categories — all computed locally without external lookups.","failureModes":["Exceeds 200 row limit — request rejected, reduce input size","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","Empty rows array — minimum 1 row required","Invalid field enum value — must be 'attendee_count' or 'company_count'","Numeric values outside allowed range (-1T to +1T) — schema rejection"],"whenToPreferThis":"Use this endpoint when you need two quick, offline analytical operations on business event participation data — specifically duplicate key detection and a date-by-category pivot — without requiring external API calls, predictions, or live data. Ideal for data quality checks before ingesting event records into a database or reporting pipeline. Best for datasets up to 200 rows; if you only need one of the two reports or need more than 200 rows, consider a different tool.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:29.086Z","isFirstParty":false,"canonicalSlug":"business-event-participation-duplicate-key-report-date-by-category-89cfc5bb"}