{"uid":"cap_slMMBsVNANYh4Bk-y4HOW","slug":"business-event-participation-record-quality-audit-string-196aae28","name":"Business Event Participation — Record Quality Audit, String Normalisation & Numeric Interval Filter","description":"Business event participation — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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-19-197?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_yI5EbdgwFPQjPQv8eLkVr","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":"Audits data quality, normalises strings, and filters by numeric interval for business event participation records (attendee_count, company_count) across up to 200 rows, producing 3 independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of my business event participation records, normalise the company_group strings, and filter rows where attendee_count falls between 5 and 150? I have 4 rows: row-1 (2026-10-01, group-a, attendee_count=10, company_count=1), row-2 (2026-10-02, group-b, attendee_count=20, company_count=2), row-3 (2026-10-03, group-a, attendee_count=15, company_count=3), row-4 (2026-10-04, group-b, attendee_count=30, company_count=4).","exampleUseCases":[{"title":"Validate event attendance data before reporting","prompt":"I have 50 rows of business event participation data with attendee_count and company_count fields — can you run a record quality audit on them and flag any malformed or suspect entries before I send the report to leadership?"},{"title":"Normalise company group labels in event records","prompt":"My event participation dataset has inconsistent company_group strings across 80 rows. Can you normalise those strings and give me a clean version, using the attendee_count field and a range of 0 to 500?"},{"title":"Filter event rows by company count interval","prompt":"From my 120 business event participation records, I only want rows where company_count is between 3 and 50 — can you run the interval filter report on the company_count field with those bounds and also do a quality audit on the dataset?"}],"resultDescription":"Returns 3 independent analytical reports for the submitted rows: (1) a record quality audit highlighting data completeness and integrity issues, (2) a string normalisation report for the company_group field, and (3) a numeric interval filter report identifying rows where the selected numeric field (attendee_count or company_count) falls within the specified minimum–maximum range. All processing is performed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, company_group, date, attendee_count, company_count) causes row-level rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 are rejected","Minimum greater than maximum may produce empty interval filter results","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Use this endpoint when you need three bundled analytical operations on business event participation data in a single cost-effective call: data quality auditing, string normalisation, and numeric interval filtering. It is ideal for preprocessing event attendance datasets (up to 200 rows) before downstream reporting or storage, and when no external data sources, predictions, or live lookups are needed — only local analytical processing of supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:44:58.262Z","isFirstParty":false,"canonicalSlug":"business-event-participation-record-quality-audit-string-196aae28"}