{"uid":"cap_E-d_c5b9pzBgE-lzLx0U5","slug":"business-event-participation-string-normalisation-grouped-numeric-d65a52b5","name":"Business Event Participation — String Normalisation + Grouped Numeric Summary","description":"Business event participation — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-19-023?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_kN_6Gl_nTmofSvcZidNYp","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 produces grouped numeric summaries for business event participation data (attendee_count, company_count) across up to 200 rows.","exampleAgentPrompt":"I have 4 rows of business event participation data — group-a had 10 attendees and 1 company on 2026-10-01, group-b had 20 attendees and 2 companies on 2026-10-02, group-a had 15 attendees and 3 companies on 2026-10-03, and group-b had 30 attendees and 4 companies on 2026-10-04. Can you normalise the company group strings and give me a grouped numeric summary for attendee_count?","exampleUseCases":[{"title":"Post-conference attendance breakdown by sponsor group","prompt":"I've got records from our annual conference — 3 sponsor groups with attendance and company counts across 12 event days. Can you normalise the group name strings and give me a grouped numeric summary of attendee_count so I can see which sponsor group drove the most attendance?"},{"title":"Trade show company participation rollup","prompt":"Here are 50 rows from our trade show registration system, each with a company_group, date, attendee_count, and company_count. Please clean up the company_group strings and summarise company_count by group so I can report on participation levels per segment."},{"title":"Monthly event series participation audit","prompt":"I have 120 rows of monthly business event participation data across 6 company groups. Can you normalise the group labels and produce a grouped numeric summary for attendee_count so I can audit which groups are consistently engaged?"}],"resultDescription":"Returns two reports: (1) a string normalisation report cleaning the company_group field across submitted rows, and (2) a grouped numeric summary (e.g. totals, means, counts) for the selected numeric field (attendee_count or company_count) broken down by company_group — all computed locally with no external lookups.","failureModes":["Rows array is empty or exceeds 200 items — validation error","Required fields (row_id, company_group, date, attendee_count, company_count) missing from one or more rows — schema validation failure","Date field does not match YYYY-MM-DD pattern — rejected row or error","Numeric values outside allowed range (-1e12 to 1e12) — validation failure","Invalid field enum value (not attendee_count or company_count) — error response"],"whenToPreferThis":"Choose this endpoint when you have structured business event participation records (with attendee and company counts per group and date) and need both string normalisation of group labels and grouped numeric aggregation in a single call — without any external API calls, predictions, or live data lookups. It is ideal for offline batch analysis of up to 200 rows at low cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:56.072Z","isFirstParty":false,"canonicalSlug":"business-event-participation-string-normalisation-grouped-numeric-d65a52b5"}