{"uid":"cap_pHkm1qFltu-FAqiSG346l","slug":"business-event-participation-data-quality-suite-record-audit-string-87ef1d4d","name":"Business Event Participation Data Quality Suite (Record Audit + String Normalisation + Duplicate Key Report)","description":"Business event participation — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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-19-192?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_XnTfFNiS5ORw3EpO0mhbb","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 supplied business event participation data: a record quality audit, string normalisation, and duplicate key detection — all in a single call for up to 200 rows.","exampleAgentPrompt":"Can you audit these business event participation records for me — run a record quality audit, normalise the company group strings, and flag any duplicate row IDs? I have up to 50 rows with fields like row_id, company_group, date, attendee_count, and company_count.","exampleUseCases":[{"title":"Pre-load data quality check for event CRM","prompt":"Before I import this batch of 120 business event participation records into our CRM, can you run a quality audit, normalise the company_group strings, and check for any duplicate row IDs? Each row has a row_id, company_group, date, attendee_count, and company_count."},{"title":"Deduplication sweep for conference attendance data","prompt":"I've got 80 rows of conference attendance data with row_id, company_group, date, attendee_count, and company_count — can you check the whole batch for duplicate keys and also give me a quality audit report?"},{"title":"Cleaning event participation exports before reporting","prompt":"We export our weekly event participation data as rows of attendee_count, company_count, company_group, and date — can you normalise the string fields and flag any quality issues or duplicate row IDs across these 60 records before I share them with the team?"}],"resultDescription":"Three independent reports: (1) a record quality audit highlighting malformed, missing, or out-of-range values across all rows; (2) a string normalisation report showing standardised versions of string fields like company_group; (3) a duplicate key report identifying rows with repeated row_id values. All computed locally against the supplied data, with no external lookups.","failureModes":["Empty rows array (minItems:1 violated) — request rejected","More than 200 rows submitted (maxItems:200 violated) — request rejected","Missing required fields (row_id, company_group, date, attendee_count, company_count) on any row — validation error","Date field does not match YYYY-MM-DD pattern — row-level format error","Numeric fields (attendee_count, company_count) outside allowed range — flagged or rejected","Payment of 0.01 USDC not provided via x402 — request denied"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous data quality operations (quality audit, string normalisation, duplicate detection) on business event participation data in a single low-cost call. It is ideal for pre-processing event attendance exports before database ingestion or reporting, when you want local, deterministic analysis with no external API calls, live lookups, or ML predictions. It is not suitable if you need live event data retrieval, predictive analytics, or more than 200 rows per batch.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:45.182Z","isFirstParty":false,"canonicalSlug":"business-event-participation-data-quality-suite-record-audit-string-87ef1d4d"}