{"uid":"cap_FRtSm1Q7kH2sobWixmQWZ","slug":"business-event-participation-data-quality-audit-string-normalisation-7c934718","name":"Business Event Participation Data Quality — Audit, String Normalisation & Missing-Value Fill","description":"Business event participation — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill 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-19-208?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_Z6CNfqc9bijpBSkvVgLwm","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 records: a record quality audit, string normalisation, and explicit missing-value fill for attendee_count or company_count fields.","exampleAgentPrompt":"Can you audit the quality of these business event participation records, normalise the company_group strings, and fill any missing attendee_count values using median imputation? I have about 50 rows covering events from October 2026.","exampleUseCases":[{"title":"Pre-analysis event data cleanup","prompt":"I have 120 rows of conference attendance data with company groups and attendee counts — some values are missing or weirdly formatted. Can you run a quality audit, normalise the company_group strings, and fill the missing attendee_count values using the median?"},{"title":"Validating company count completeness","prompt":"Before I import these event participation records into our dashboard, can you check them for quality issues, clean up the company_group names, and fill any null company_count values with zero? There are about 80 rows."},{"title":"Missing value imputation for event reporting","prompt":"We've got business event data for Q4 2026 — around 150 rows — and the attendee_count field has some blanks. Can you audit the records for quality, normalise strings, and fill those missing attendee counts using the mean?"}],"resultDescription":"Returns three independent reports for the submitted rows (up to 200): (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates; (2) string normalisation results for company_group and other string fields; and (3) an explicit missing-value fill result for the specified numeric field (attendee_count or company_count) using the chosen method (zero, mean, or median). All processing is performed locally with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, company_group, date, attendee_count, company_count) in any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid enum value for field or method parameters","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment not received or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit, string normalisation, and missing-value imputation for business event participation data (attendee and company counts) in a single low-cost call. It is ideal for pre-processing event datasets before analysis or import, with no need for external data sources or live lookups. Best suited for batches up to 200 rows requiring all three report types simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:46.042Z","isFirstParty":false,"canonicalSlug":"business-event-participation-data-quality-audit-string-normalisation-7c934718"}