{"uid":"cap_nI47aND-rXVWVVpDCgHUk","slug":"event-attendance-keyed-dataset-comparison-c5619af2","name":"Event Attendance Keyed Dataset Comparison","description":"Event attendance - Keyed dataset comparison: Keyed dataset comparison for Event attendance. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded keyed dataset comparison deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-event-attendance-compare?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","event_type","date","registrations","attendees"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"attendees":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"event_type":{"type":"string","default":"","maxLength":80},"registrations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","attendees":1,"event_type":"group-a","registrations":10},{"date":"2026-10-02","row_id":"row-2","attendees":2,"event_type":"group-b","registrations":20},{"date":"2026-10-03","row_id":"row-3","attendees":3,"event_type":"group-a","registrations":15},{"date":"2026-10-04","row_id":"row-4","attendees":4,"event_type":"group-b","registrations":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","event_type","date","registrations","attendees"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"attendees":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"event_type":{"type":"string","default":"","maxLength":80},"registrations":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","attendees":1,"event_type":"group-a","registrations":10},{"date":"2026-10-02","row_id":"row-2","attendees":2,"event_type":"group-b","registrations":21},{"date":"2026-10-03","row_id":"row-3","attendees":3,"event_type":"group-a","registrations":17},{"date":"2026-10-04","row_id":"row-4","attendees":4,"event_type":"group-b","registrations":33}],"maxItems":200,"minItems":0}}},"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_5BaGj-8DvFeB7z5g0Pmhm","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":"Compares two keyed datasets of event attendance records (up to 200 rows each) and returns field-level differences, mismatches, and data quality metrics.","exampleAgentPrompt":"Compare these two event attendance datasets for me — the first has rows for group-a and group-b events from October 1–4 with registrations and attendee counts, and the second has the same rows but with slightly different registration numbers. Tell me which rows changed and by how much.","exampleUseCases":[{"title":"Detecting registration count drift","prompt":"I have two snapshots of our event registration data from last week and this week — both have the same row IDs and event types but the numbers might have changed. Can you compare them and tell me which rows have different registration or attendee counts?"},{"title":"Auditing post-update attendance records","prompt":"We updated our attendee tracking system and I need to verify nothing broke. Here are the event attendance records before and after the update — both keyed by row_id. Can you diff them and flag any discrepancies in registrations or attendees?"},{"title":"Reconciling two event data sources","prompt":"We get event attendance data from two different systems and I suspect they're out of sync. I have up to 200 rows from each system, all with event_type, date, registrations, and attendees. Can you compare them side by side and show me where the values don't match?"}],"resultDescription":"A keyed dataset comparison deliverable showing which rows exist in both datasets, which are missing from one side, and where field values (registrations, attendees) differ between matched rows, along with numeric deltas and data-quality indicators.","failureModes":["Missing required fields (row_id, event_type, date, registrations, attendees) in any row causes validation error","Exceeding 200 rows in either dataset returns an error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Duplicate row_ids within a single dataset may produce ambiguous comparison results","Empty primary dataset (minItems:1 violated) returns error"],"whenToPreferThis":"Choose this endpoint when you have two versioned or sourced event attendance datasets keyed by row_id and need a structured diff of numeric fields (registrations, attendees) without any external enrichment. Ideal for auditing, reconciliation, change detection, and data quality checks on event data specifically. Not suitable if you need forecasting, aggregation, or enrichment from external sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:02:59.233Z","isFirstParty":false,"canonicalSlug":"event-attendance-keyed-dataset-comparison-c5619af2"}