{"uid":"cap_OdjL8Uq47j22wdWObOw_Y","slug":"business-event-participation-daily-sum-series-explicit-missing-value-c16b5357","name":"Business Event Participation — Daily Sum Series + Explicit Missing-Value Fill","description":"Business event participation — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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-19-145?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_6eSTUy994b3RIwHS3Tt13","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 daily sum time series and fills missing values (zero, mean, or median) for business event participation data (attendee_count, company_count) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have up to 200 rows of business event participation records with attendee_count and company_count fields — can you compute the daily sum series for attendee_count and fill any missing values using median imputation?","exampleUseCases":[{"title":"Conference attendance daily rollup","prompt":"I have event participation records for our annual conference across multiple company groups — can you compute the daily sum series for attendee_count and fill any missing days using median values? Here are up to 200 rows with date, company_group, attendee_count, and company_count."},{"title":"Missing data cleanup for company participation","prompt":"My business event dataset has some null company_count values scattered across dates — please fill those missing values using the mean method and also give me the daily sum series so I can see participation trends over time."},{"title":"Multi-group event analytics with zero-fill","prompt":"I'm tracking event participation across several company groups over October 2026, and I need both the daily sum series and missing-value treatment using zero fill for the attendee_count field — can you run both reports on my 150-row dataset?"}],"resultDescription":"Returns 2 analytical reports: (1) a daily sum series aggregating the selected field (attendee_count or company_count) by date, and (2) a dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally without external lookups.","failureModes":["Input rows exceed 200 item limit — request rejected","Missing required fields (row_id, date, company_group) cause validation error","Invalid date format (not YYYY-MM-DD) causes parse failure","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array (minItems:1 not met) causes error","Invalid enum value for field or method parameter"],"whenToPreferThis":"Choose this endpoint when you need both daily aggregation (sum series) and missing-value imputation on business event participation data in a single call. Ideal for cleaning and summarizing structured tabular event records (up to 200 rows) without needing live data, predictions, or external lookups. Best when you need two simultaneous analytical outputs from the same dataset at low cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:49:01.601Z","isFirstParty":false,"canonicalSlug":"business-event-participation-daily-sum-series-explicit-missing-value-c16b5357"}