{"uid":"cap_7S6ZxODQ8dIDnY5X36YP3","slug":"business-event-participation-string-normalisation-numeric-row-ordering-00e779b7","name":"Business Event Participation — String Normalisation + Numeric Row Ordering","description":"Business event participation — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-19-025?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_8e55H_MmMlcktBqXIouF_","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 company_group strings and sorts business event participation rows by a chosen numeric field (attendee_count or company_count) for up to 200 records, returning two analytical reports.","exampleAgentPrompt":"I have a batch of business event participation records with company group names that need normalising and I want them sorted by attendee_count — can you process these rows and give me two analytical reports? Here are my rows: [{\"row_id\":\"row-1\",\"company_group\":\"group-a\",\"date\":\"2026-10-01\",\"attendee_count\":10,\"company_count\":1}].","exampleUseCases":[{"title":"Event series attendee ranking","prompt":"I've got 50 rows of business event participation data — company groups, dates, attendee counts, and company counts — and I need the company_group strings normalised and the whole dataset sorted by attendee_count. Can you run both reports on that?"},{"title":"Company count ordering for pitch events","prompt":"Here are 80 records from our pitch event series. Each row has a row_id, company_group, date, attendee_count, and company_count. Please normalise the company group names and sort everything by company_count, then give me the two analytical reports."},{"title":"Conference participation data cleanup","prompt":"We collected participation data from our regional conferences — up to 200 rows with attendee_count and company_count per event. Can you normalise the company_group strings and order the rows by attendee_count so we have clean, ranked reports to review?"}],"resultDescription":"Two analytical reports derived from the submitted rows: one performing string normalisation on the company_group field, and one reordering rows numerically by the chosen field (attendee_count or company_count). Results are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, company_group, date, attendee_count, or company_count) — validation error","Date field not in YYYY-MM-DD format — pattern validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Invalid field selector (not attendee_count or company_count) — enum validation error","Empty rows array — minItems constraint failure"],"whenToPreferThis":"Choose this endpoint when you have business event participation data (up to 200 rows) that needs both string normalisation on company group names and numeric ordering by attendee or company count, and you want two bundled analytical reports in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics tools when your data fits the specific schema (row_id, company_group, date, attendee_count, company_count) and you need offline, deterministic processing with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T12:40:47.197Z","isFirstParty":false,"canonicalSlug":"business-event-participation-string-normalisation-numeric-row-ordering-00e779b7"}