{"uid":"cap_l56GWLtvMz3Qh0kTwFePC","slug":"business-event-participation-data-quality-summary-analyzer-6d481dc5","name":"Business Event Participation Data Quality & Summary Analyzer","description":"Business event participation — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied business event participation records (attendee_count, company_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-19-211?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_bVoFfiQUc5VQBUIorGcyv","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":"Runs three analytical reports (record quality audit, exact row deduplication, and grouped numeric summary) on business event participation data with attendee and company counts.","exampleAgentPrompt":"Can you run a data quality audit, exact duplicate check, and grouped numeric summary on my business event participation records? I have up to 50 rows with fields like company_group, date, attendee_count, and company_count — please summarize by attendee_count.","exampleUseCases":[{"title":"Event attendance data cleanup","prompt":"I have a CSV of business event records with attendee_count and company_count per company group and date — can you audit the data quality, find any exact duplicate rows, and give me a grouped summary of attendee_count by company group?"},{"title":"Conference data deduplication check","prompt":"Before I import my conference participation data into our CRM, can you check these 120 rows for record quality issues and exact duplicates, and also group the company_count totals by company group?"},{"title":"Quarterly event reporting summary","prompt":"I need to summarize our quarterly event participation data — can you run a quality audit and grouped numeric summary on these event records grouped by company group, focusing on company_count as the numeric field?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging missing, null, or malformed values; (2) an exact row deduplication report identifying duplicate entries; and (3) a grouped numeric summary aggregating the selected numeric field (attendee_count or company_count) by company_group. All computed locally with no external lookups.","failureModes":["Rows array is empty or missing — validation error returned","More than 200 rows submitted — request rejected with limit error","Required fields (row_id, company_group, date, attendee_count, company_count) missing from row objects — schema validation failure","Date field does not match YYYY-MM-DD format — pattern validation error","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error","Invalid field enum value (not attendee_count or company_count) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, remove exact duplicates, and compute grouped numeric aggregations on business event participation data (up to 200 rows) in a single low-cost call. Ideal when you have structured event records with company groupings and want three analytical reports without any external API calls, live lookups, or predictions. Best for preprocessing pipelines, data validation before import, or lightweight analytics on small-to-medium event datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:35.765Z","isFirstParty":false,"canonicalSlug":"business-event-participation-data-quality-summary-analyzer-6d481dc5"}