{"uid":"cap_S_8XFpePZyb_qP7DoCx2F","slug":"business-event-participation-string-normalisation-category-frequencies-79f03618","name":"Business Event Participation — String Normalisation + Category Frequencies","description":"Business event participation — String normalisation + Category frequencies: String normalisation + Category frequencies 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-19-024?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}}},"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_3_PjDMWRweJ6GqititI-O","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 category frequency distributions for up to 200 business event participation records (attendee_count, company_count) in two independent analytical reports.","exampleAgentPrompt":"I have a list of up to 200 business event participation records with company groups, dates, attendee counts, and company counts — can you normalise the string fields and give me a frequency breakdown of each category group?","exampleUseCases":[{"title":"Event attendance category summary","prompt":"I've got 150 rows of conference participation data with fields like company_group, date, attendee_count, and company_count — normalise the group name strings and tell me how frequently each company_group appears across the dataset."},{"title":"Data cleaning for event CRM import","prompt":"Before I import these 80 event participation records into our CRM, can you normalise the company_group strings and compute category frequencies for both attendee_count and company_count so I can spot inconsistencies?"},{"title":"Monthly event reporting aggregate","prompt":"Here are this month's business event records — around 120 rows with row_id, date, company_group, attendee_count, and company_count. Run string normalisation and give me a frequency table per category so I can build the monthly report."}],"resultDescription":"Two independent analytical reports per call: (1) normalised string output for company_group and related string fields across all submitted rows, and (2) frequency distribution tables for categorical values in attendee_count and company_count fields — covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern rejected by schema","Numeric values outside allowed range (-1e12 to 1e12) cause validation failure","Empty rows array returns error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have structured business event participation data (with attendee and company counts grouped by company_group) and need both string normalisation and category frequency analysis in a single low-cost call. It is ideal for pre-import data cleaning, quick exploratory aggregation on small-to-medium datasets (up to 200 rows), and batch reporting workflows where no live lookup or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:51.777Z","isFirstParty":false,"canonicalSlug":"business-event-participation-string-normalisation-category-frequencies-79f03618"}