{"uid":"cap_pMtjeC6YY_ChTw0jzwn0o","slug":"business-event-participation-category-frequencies-adjacent-row-changes-b85dfd24","name":"Business Event Participation — Category Frequencies + Adjacent Row Changes","description":"Business event participation — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-19-104?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_MYgou44dgCgNMj1rH27yL","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":"Analyzes business event participation records to produce category frequency distributions and adjacent row change reports for attendee_count or company_count fields.","exampleAgentPrompt":"I have a list of up to 200 business event participation records with attendee counts and company groups — can you run category frequency analysis and adjacent row change detection on the attendee_count field for rows like: row-1 on 2026-10-01, group-a, 10 attendees, 1 company; row-2 on 2026-10-02, group-b, 20 attendees, 2 companies?","exampleUseCases":[{"title":"Conference attendance trend detection","prompt":"I have 150 rows of conference participation data with dates, company groups, and attendee counts — can you analyze how often each company group appears and show me how attendee_count changes between consecutive rows so I can spot attendance trends?"},{"title":"Corporate event company participation audit","prompt":"Run a category frequency report and adjacent row change analysis on my business event records using the company_count field — I have about 80 rows with company groups like 'enterprise' and 'SMB' across dates in Q3 2026."},{"title":"Meetup series sequential analysis","prompt":"I've got records from a monthly meetup series — around 50 rows with row IDs, dates, company groups, attendee counts, and company counts — can you give me the category frequencies by company group and show how attendee_count shifts from one row to the next?"}],"resultDescription":"Returns two independent analytical reports: (1) category frequencies showing how often each company_group value appears in the supplied rows, and (2) adjacent row changes showing the sequential delta in the selected numeric field (attendee_count or company_count) between consecutive rows — all computed locally on the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit","Submitting fewer than 1 row fails minItems validation","Invalid field enum value (anything other than attendee_count or company_count) causes rejection","Numeric values outside ±1,000,000,000,000 are rejected","Payment failure or insufficient USDC balance blocks the request"],"whenToPreferThis":"Choose this endpoint when you have up to 200 business event participation rows and need both a category frequency breakdown by company group and sequential row-to-row change detection for a numeric metric (attendee_count or company_count) in a single low-cost call. It is ideal for offline/batch analytical passes on supplied data where no live data lookup, prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:50:43.900Z","isFirstParty":false,"canonicalSlug":"business-event-participation-category-frequencies-adjacent-row-changes-b85dfd24"}