{"uid":"cap_AJq60ujkifZdP0Uli2YKl","slug":"business-event-participation-daily-sum-series-two-measure-correlation-293ab66a","name":"Business Event Participation — Daily Sum Series + Two-Measure Correlation","description":"Business event participation — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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-19-141?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_khmXcDXh7gL96bfzl0V8k","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 daily sum time series and a two-measure correlation (attendee_count vs company_count) from supplied business event participation row data, returning two analytical reports in one call.","exampleAgentPrompt":"I have up to 200 rows of business event participation data with dates, company groups, attendee counts, and company counts — can you run a daily sum series and a correlation between attendee_count and company_count on that data?","exampleUseCases":[{"title":"Conference attendance trend analysis","prompt":"I've got daily records from our October conference series — each row has a date, company group, attendee count, and company count. Can you produce a daily sum series for attendee_count and also show me the correlation between attendee_count and company_count across all the rows?"},{"title":"Trade show company vs attendee relationship","prompt":"We tracked 150 rows of trade show participation data by date and company group. I want to see the total attendees summed by day and find out how strongly correlated the attendee count is with the number of companies present — can you run both reports?"},{"title":"Corporate event participation reporting","prompt":"Here are our event participation records for Q4, each with a date, row ID, company group, and both attendee_count and company_count values. Please compute the daily sum series using attendee_count as the field and give me the two-measure correlation report between attendee_count and company_count."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating the selected field (attendee_count or company_count) by date across up to 200 input rows, and (2) a Pearson or equivalent correlation coefficient between attendee_count and company_count across the supplied dataset. No external data is fetched; all computation is performed on the supplied rows locally.","failureModes":["Missing required row fields (row_id, date, company_group, attendee_count, company_count) causes validation error","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in both measure columns may produce undefined correlation","Submitting only one row may result in a trivial or undefined correlation"],"whenToPreferThis":"Choose this endpoint when you have structured business event participation data (with dates, attendee counts, and company counts) and need both a daily aggregated sum series and a two-measure correlation in a single low-cost call. It is ideal for offline/batch analytical reporting on supplied data rather than live data fetching, and is cost-effective at $0.01 USDC for two reports on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:18.461Z","isFirstParty":false,"canonicalSlug":"business-event-participation-daily-sum-series-two-measure-correlation-293ab66a"}