{"uid":"cap_QO2ZRKz-gL2vAfi0XOdFK","slug":"business-event-participation-record-quality-audit-string-67779a77","name":"Business Event Participation — Record Quality Audit + String Normalisation + Equal-Width Histogram","description":"Business event participation — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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-19-202?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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"}}},"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_m-yWar9MoVBJSutx9-XGS","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 analytical reports on business event participation data: a record quality audit, string normalisation, and an equal-width histogram for attendee_count or company_count fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and a 10-bin equal-width histogram on this set of business event participation records? The field I want the histogram on is attendee_count, and I have up to 150 rows with columns row_id, company_group, date, attendee_count, and company_count.","exampleUseCases":[{"title":"Pre-load data quality check for event data","prompt":"Before I load this batch of 120 business event participation records into our data warehouse, can you audit them for quality issues, normalise the company_group strings, and give me a 5-bin histogram on company_count so I can spot outliers?"},{"title":"Profiling attendee distribution across event series","prompt":"I have 80 rows of event participation data with attendee_count and company_count fields — can you profile the attendee_count distribution with an equal-width histogram using 8 bins, and also run a quality audit and string normalisation on the records?"},{"title":"Cleaning and summarising event CRM export","prompt":"We exported event participation records from our CRM — about 200 rows. Can you check them for record quality problems, normalise the company_group names, and generate a 10-bin histogram on attendee_count so we can see how attendance is distributed?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging issues like nulls, out-of-range values, or malformed dates across the supplied rows; (2) a string normalisation report cleaning and standardising company_group and other string fields; and (3) an equal-width histogram breaking the chosen numeric field (attendee_count or company_count) into the specified number of bins with counts per bin. All computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, company_group, date, attendee_count, company_count) causes rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Bins value outside 1–30 range is rejected","Empty rows array is not accepted","Null values in the selected histogram field may reduce histogram coverage","Payment failure via x402 protocol blocks execution"],"whenToPreferThis":"Choose this endpoint when you need three complementary data-profiling operations — quality audit, string normalisation, and histogram — on business event participation records in a single low-cost call. It is ideal for pre-ingestion data validation, exploratory data profiling, or cleaning CRM or event management exports when the dataset fits within 200 rows and no live external data enrichment is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:11.484Z","isFirstParty":false,"canonicalSlug":"business-event-participation-record-quality-audit-string-67779a77"}