{"uid":"cap_r9pMo3nXo6ADC9YKu3DiW","slug":"business-event-participation-data-quality-suite-record-audit-string-ef5ac5a3","name":"Business Event Participation Data Quality Suite (Record Audit + String Normalisation + Deduplication)","description":"Business event participation — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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-19-191?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_DlGB60DTKSnB8w4lVR8Ly","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 exact row deduplication — up to 200 rows per call.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and exact row deduplication on my business event participation records? I have rows with fields like row_id, company_group, date, attendee_count, and company_count — here are up to 200 rows I need cleaned and validated.","exampleUseCases":[{"title":"Pre-analysis event data cleanup","prompt":"I've got a CSV of business event attendance records with company_group names, dates, attendee_count and company_count — can you audit the data quality, normalise the strings, and remove any exact duplicates before I run my analysis? Here are the rows."},{"title":"Conference attendance deduplication","prompt":"We collected attendee data across multiple sources for our industry conferences and I'm worried there are duplicate rows. Can you deduplicate these event participation records and also flag any quality issues, normalising the company group names while you're at it?"},{"title":"Event reporting data validation","prompt":"Before I submit our quarterly event participation report, can you check these records for quality issues, standardise the company_group strings, and deduplicate any exact duplicate rows? I have about 150 rows with attendee_count and company_count fields."}],"resultDescription":"Three independent reports covering: (1) a record quality audit highlighting issues with field completeness, format violations, and anomalous values; (2) a string normalisation report showing standardised versions of text fields like company_group; (3) an exact row deduplication report identifying and removing identical rows from the dataset. All analysis is performed locally with no external lookups.","failureModes":["Exceeding 200 rows returns an error or truncation","Rows missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors","Invalid date formats (not YYYY-MM-DD) fail schema validation","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need a combined, affordable ($0.01 USDC) batch operation that simultaneously audits data quality, normalises strings, and deduplicates records in a single call for datasets up to 200 rows of business event participation data. Ideal when you want purely local analytical processing with no external API calls or live data lookups, and when your data involves event attendance metrics (attendee_count, company_count) grouped by company.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:08.671Z","isFirstParty":false,"canonicalSlug":"business-event-participation-data-quality-suite-record-audit-string-ef5ac5a3"}