{"uid":"cap_6Fd1wikLMPPA5jgXW96_q","slug":"business-event-participation-data-auditor-record-quality-string-fd6699af","name":"Business Event Participation Data Auditor — Record Quality, String Normalisation & Keyed Comparison","description":"Business event participation — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-19-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"attendee_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_count":1,"company_group":"group-a","attendee_count":10},{"date":"2026-10-02","row_id":"row-2","company_count":2,"company_group":"group-b","attendee_count":20},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":15},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","attendee_count","company_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","company_count":3,"company_group":"group-a","attendee_count":17},{"date":"2026-10-04","row_id":"row-4","company_count":4,"company_group":"group-b","attendee_count":33}],"maxItems":200,"minItems":0}}},"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_Ww4WfIyaAjxIxNQDqSIg3","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 (record quality audit, string normalisation, and keyed dataset comparison) on up to 200 business event participation rows containing attendee and company counts.","exampleAgentPrompt":"Can you audit the quality of my business event participation records, normalise the company_group strings, and compare them against a second dataset? I have two sets of up to 200 rows each with fields: row_id, company_group, date, attendee_count, and company_count — here are the primary rows and the comparison rows.","exampleUseCases":[{"title":"Pre-load data quality gate for event records","prompt":"Before I load this batch of 150 event participation rows into our CRM, can you run a record quality audit and string normalisation on the company_group names? Here are the rows with row_id, company_group, date, attendee_count, and company_count fields."},{"title":"Compare two event dataset versions for discrepancies","prompt":"I have two versions of our Q4 event attendance data — the original export and a revised one. Can you do a keyed dataset comparison between them to show me which rows changed in attendee_count or company_count? Both have up to 80 rows with row_id, company_group, date, attendee_count, and company_count."},{"title":"Normalise inconsistent company group labels in event data","prompt":"Our event participation records have messy company_group strings — things like 'Group A', 'group-a', and 'GROUP A' all mixed together. Can you run a string normalisation report on these 60 rows so I can see which labels should be unified?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit highlighting missing values, out-of-range numbers, and row-level issues in attendee_count and company_count; (2) a string normalisation report showing variations and suggested canonical forms for company_group and other string fields; and (3) a keyed dataset comparison report identifying row-level differences between the primary rows and the supplied comparison dataset, matched by row_id.","failureModes":["Exceeding 200 rows in either the rows or other array returns a validation error","Rows missing required fields (row_id, company_group, date, attendee_count, company_count) are rejected","Date fields not matching YYYY-MM-DD pattern cause schema validation failure","Numeric fields outside the allowed range (-1e12 to 1e12) are rejected","Empty rows array (minItems:1 not met) returns an error","Payment of 0.01 USDC not included or failed causes a 402 response"],"whenToPreferThis":"Choose this endpoint when you need to perform three complementary data-quality operations on business event participation records in a single, low-cost API call without any external data lookups or live predictions. It is ideal for pre-ingestion quality gates, post-export validation, or reconciling two versions of the same event dataset when your data is already on hand and fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:49:01.601Z","isFirstParty":false,"canonicalSlug":"business-event-participation-data-auditor-record-quality-string-fd6699af"}