{"uid":"cap_uMMPkhS6F-zN_HXKlvVTT","slug":"business-event-participation-daily-sum-series-keyed-dataset-comparison-a5404663","name":"Business Event Participation — Daily Sum Series + Keyed Dataset Comparison","description":"Business event participation — Daily sum series + Keyed dataset comparison: Daily sum series + 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-19-144?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"attendee_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_count":1,"company_group":"group-a","attendee_count":10},{"date":"2026-10-02","row_id":"row-2","company_count":2,"company_group":"group-b","attendee_count":20},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":15},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["attendee_count","company_count"],"type":"string","default":"attendee_count"},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","attendee_count","company_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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_PjmgDEnP--31fe0IqCFlH","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 keyed dataset comparison for up to 200 business event participation records (attendee_count, company_count) using local analytical engines.","exampleAgentPrompt":"Can you run a daily sum series and keyed dataset comparison on my business event participation data — I'll give you two sets of up to 200 rows each with attendee_count and company_count fields, and I want to analyze attendee_count across both?","exampleUseCases":[{"title":"Year-over-year event attendance comparison","prompt":"I have two batches of event participation records — one from last year's conference season and one from this year's — each up to 200 rows with dates, company groups, attendee counts, and company counts. Can you compare them side by side and also give me the daily sum series for attendee_count?"},{"title":"Monthly company group attendance rollup","prompt":"Here are 150 rows of business event participation records from Q3, each with a date, company_group, attendee_count, and company_count. Can you generate a daily sum series for company_count and compare this dataset against our Q2 data using a keyed comparison?"},{"title":"Post-event analytics for dual-track summit","prompt":"We ran a two-track summit and have separate participation logs for each track — both under 200 rows with attendee_count and company_count per day. Can you compute the daily totals for attendee_count for each track and run a keyed comparison between the two datasets?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the selected metric (attendee_count or company_count) by date across the supplied rows, and (2) a keyed dataset comparison showing differences between the primary and secondary (other) datasets matched by row_id and company_group. Both reports are computed locally without live lookup or external data.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (must be 'attendee_count' or 'company_count') — error returned","Empty rows array (minItems:1 not satisfied) — request rejected","Null numeric values in attendee_count or company_count may affect aggregation results"],"whenToPreferThis":"Choose this endpoint when you have structured business event participation data (up to 200 rows) and need both a daily time series aggregation and a keyed comparison between two datasets in a single $0.01 call. It is ideal for offline/batch analytics on pre-collected data where no live data lookup, prediction, or external API calls are needed. Prefer alternatives if you need real-time data ingestion, more than 200 rows, or more than two simultaneous reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:46.547Z","isFirstParty":false,"canonicalSlug":"business-event-participation-daily-sum-series-keyed-dataset-comparison-a5404663"}