{"uid":"cap_5-zb1nC0GsSr35gsQJI2q","slug":"business-event-participation-two-measure-correlation-keyed-dataset-514c5923","name":"Business Event Participation — Two-Measure Correlation + Keyed Dataset Comparison","description":"Business event participation — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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-19-183?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"attendee_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_count":1,"company_group":"group-a","attendee_count":10},{"date":"2026-10-02","row_id":"row-2","company_count":2,"company_group":"group-b","attendee_count":20},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":15},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","attendee_count","company_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":17},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":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_fPHWfnl4Z0u68D3FUftE7","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":"Computes a two-measure Pearson/rank correlation between attendee_count and company_count, and performs a keyed dataset comparison across two supplied business event participation datasets (up to 200 rows each), returning two independent analytical reports.","exampleAgentPrompt":"I have two sets of business event participation records — each with up to 200 rows including attendee_count and company_count per date and company group — can you run a two-measure correlation between attendee_count and company_count on the first dataset, and then compare the two datasets key-by-key to see where they differ?","exampleUseCases":[{"title":"Validate two event attendance datasets","prompt":"I pulled event attendance data from two different sources for Q4 — each has up to 150 rows with date, company_group, attendee_count, and company_count — can you compare them key-by-key to show me which rows differ between the two, and also tell me how correlated attendee_count and company_count are in the primary dataset?"},{"title":"Measure attendee-company correlation across events","prompt":"Here are 80 rows of our business conference participation data with attendee_count and company_count per date and group — I want to know how strongly those two measures correlate with each other, and I also want to compare this year's data against last year's dataset to spot any key-level differences."},{"title":"Reconcile pre- and post-event participation records","prompt":"We have a pre-event registration dataset and a post-event actual attendance dataset, each around 100 rows with row_id, date, company_group, attendee_count, and company_count — please compare them by key to find mismatches and also compute the correlation between attendee and company counts in the registration data."}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation report quantifying the statistical relationship between attendee_count and company_count across the supplied rows, and (2) a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets matched by row_id. No external lookups or predictions are made; all analysis runs on the supplied data locally.","failureModes":["Input rows array empty or exceeds 200 items — validation error returned","Missing required fields (row_id, company_group, date, attendee_count, company_count) on any row — schema validation failure","Date fields not matching YYYY-MM-DD pattern — pattern validation error","Numeric fields outside allowed range (±1,000,000,000,000) — validation error","Insufficient variation in data for meaningful correlation (e.g., all values identical) — correlation may return NaN or zero","Secondary 'other' dataset missing or malformed — keyed comparison report may fail or return empty diff"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of business event participation data with attendee_count and company_count fields and need both a statistical correlation between those two measures AND a structured key-level comparison between two versions or sources of the dataset in a single low-cost call ($0.01 USDC). Prefer this over general analytics tools when you want bundled, offline, supply-your-own-data analysis without external lookups or storage.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:18.555Z","isFirstParty":false,"canonicalSlug":"business-event-participation-two-measure-correlation-keyed-dataset-514c5923"}