{"uid":"cap_b-YXwB5yAj2BocHPL2NJc","slug":"business-event-participation-numeric-interval-filter-daily-sum-series-1e49e644","name":"Business Event Participation — Numeric Interval Filter + Daily Sum Series","description":"Business event participation — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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-19-125?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_uR-WhR_dEL5sr2lG7wgy-","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":"Filters business event participation rows by a numeric interval and computes daily sum time series for attendee_count or company_count fields, returning two analytical reports from supplied data.","exampleAgentPrompt":"I have up to 200 rows of business event participation data with attendee_count and company_count per date and company group — can you run a numeric interval filter keeping only rows where attendee_count is between 0 and 100, and also give me a daily sum series for attendee_count?","exampleUseCases":[{"title":"Conference attendance daily trend analysis","prompt":"I've got 150 rows of conference participation records with dates, company groups, attendee counts, and company counts. Can you filter to only events where attendee_count falls between 10 and 500, and show me the daily sum of attendees across all those filtered days?"},{"title":"Corporate event company count reporting","prompt":"Here are my business event records for Q4 — each row has a date, row ID, company group, and both attendee and company counts. Please filter rows where company_count is between 1 and 20 and give me a daily sum series for company_count so I can see participation trends day by day."},{"title":"Event participation outlier exclusion","prompt":"I want to exclude outlier events from my participation dataset — keep only rows where attendee_count is between 5 and 75 — and then show me the daily total attendee counts as a time series. I have about 80 rows of data to analyze."}],"resultDescription":"Two analytical reports: (1) a numeric interval filter report showing which rows fall within the specified min/max range for the selected field, and (2) a daily sum series aggregating the selected field (attendee_count or company_count) by date. Both reports are computed locally from the supplied rows, with no external data lookup.","failureModes":["Missing required row fields (row_id, date, company_group) causes validation error","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the maxItems limit","Numeric values outside ±1,000,000,000,000 bounds are rejected","Invalid field enum value (must be attendee_count or company_count) causes error","Payment of 0.01 USDC not supplied or rejected results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 business event participation records and need both a numeric range filter and a daily sum time series in a single low-cost call ($0.01 USDC for two reports). Ideal when you want to slice participation data by a value threshold and simultaneously observe day-over-day totals without setting up your own analytics infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:52.614Z","isFirstParty":false,"canonicalSlug":"business-event-participation-numeric-interval-filter-daily-sum-series-1e49e644"}