{"uid":"cap_skvfMMMSSpUfJri0XZ1eG","slug":"business-event-participation-string-normalisation-secondary-measure-51d1a68e","name":"Business Event Participation — String Normalisation + Secondary-Measure Weighted Mean","description":"Business event participation — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-19-034?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_XHvWa1X6ciqvPgLQQChrk","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":"Normalises string fields and computes a secondary-measure weighted mean for business event participation records (attendee_count, company_count) across up to 200 rows.","exampleAgentPrompt":"I have a list of up to 200 business event participation records — each with a row_id, company_group, date, attendee_count, and company_count — can you run string normalisation on the company_group field and then calculate the secondary-measure weighted mean for attendee_count using company_count as the weight?","exampleUseCases":[{"title":"Conference attendance weighted analysis","prompt":"I've got 150 rows of conference participation data, each with a row_id, company_group, date, attendee_count, and company_count. Can you normalise the company_group strings and calculate the weighted mean of attendee_count using company_count as the secondary measure?"},{"title":"Trade show company group clean-up","prompt":"Our trade show records have messy company_group names and I need them normalised. I also want the weighted mean for company_count across about 80 rows — each row has a row_id, date, company_group, attendee_count, and company_count."},{"title":"Event participation data quality and stats","prompt":"Here are 200 rows of business event participation records with row_id, date, company_group, attendee_count, and company_count. Please run string normalisation on the grouping field and give me a secondary-measure weighted mean for company_count."}],"resultDescription":"Returns two analytical reports: (1) string-normalised output for company_group fields across all submitted rows, and (2) a secondary-measure weighted mean for the selected field (attendee_count or company_count), computed locally without any external lookups or live data enrichment.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range rejected","Empty rows array rejected (minItems: 1)","Payment not provided or insufficient USDC causes 402 error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 business event participation records and need both string normalisation of grouping fields and a weighted mean statistic in a single low-cost call ($0.01 USDC). It is ideal when no external data enrichment, live lookups, or prediction is needed — only deterministic local computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:43:16.422Z","isFirstParty":false,"canonicalSlug":"business-event-participation-string-normalisation-secondary-measure-51d1a68e"}