{"uid":"cap_Hs-SbqffDy8I9vOBdklyV","slug":"business-event-participation-data-quality-analytics-record-audit-88166a3d","name":"Business Event Participation Data Quality & Analytics — Record Audit, String Normalisation, Category Frequencies","description":"Business event participation — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied business event participation records (attendee_count, company_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-19-195?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_c83Y1jlwe_SeX5mOJGywo","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":"Runs three local analytical reports on business event participation data (up to 200 rows): a record quality audit, string normalisation, and category frequency counts for attendee_count and company_count fields.","exampleAgentPrompt":"Can you audit the quality of my business event participation records, normalise the company group strings, and give me frequency counts by category? I have about 50 rows with fields like row_id, company_group, date, attendee_count, and company_count.","exampleUseCases":[{"title":"Pre-reporting event data cleanup","prompt":"I have 120 rows of event participation data with company_group, attendee_count, and company_count — can you run a quality audit, normalise the company group names, and tell me how often each category appears before I build my report?"},{"title":"Detect dirty records in attendance dataset","prompt":"Before I load this event attendance dataset into our dashboard, can you check the record quality and flag any issues in the attendee_count and company_count columns? Also normalise the company_group strings and count category frequencies. There are about 80 rows."},{"title":"Category frequency summary for event planning","prompt":"I want to understand how our 200 event participation records are distributed across company groups — can you run string normalisation on company_group, audit record quality, and give me frequency counts for each category?"}],"resultDescription":"Returns three separate analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates across all rows; (2) normalised string representations for the company_group and other string fields; (3) a frequency table showing how often each category (company_group) appears in the dataset, covering up to 200 input rows.","failureModes":["Exceeding 200 rows in the input array returns a validation error","Missing required fields (row_id, company_group, date, attendee_count, company_count) cause row-level or request-level rejection","Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected","Numeric values outside the allowed range (-1e12 to 1e12) may be flagged in the quality audit","Empty rows array (minItems:1 not met) returns a validation error","Payment failure via x402 protocol results in no reports being returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of business event participation data and need three types of analysis in a single low-cost call: data quality auditing, string normalisation, and category frequency reporting. It is ideal for pre-processing or QA steps before downstream analysis, dashboard loading, or reporting. Prefer this over general-purpose data tools when you specifically need all three report types bundled cheaply ($0.01 USDC) and your data fits the attendee_count/company_count/company_group schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:53.737Z","isFirstParty":false,"canonicalSlug":"business-event-participation-data-quality-analytics-record-audit-88166a3d"}