{"uid":"cap_69qAAUPQeMl_qJnV4nTBX","slug":"company-record-completeness-record-quality-audit-iqr-outlier-flags-d39a74dc","name":"Company Record Completeness — Record Quality Audit + IQR Outlier Flags","description":"Company record completeness — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags for supplied company record completeness records (populated_fields, required_fields). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-01-014?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","populated_fields","required_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"required_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","required_fields":1,"populated_fields":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","required_fields":2,"populated_fields":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","required_fields":3,"populated_fields":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","required_fields":4,"populated_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_fields","required_fields"],"type":"string","default":"populated_fields"}}},"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_IbcN8vCTewRMZmTXffqsa","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 up to 200 company record completeness rows (populated_fields, required_fields) and produces two analytical reports: a record quality audit and IQR-based outlier flags.","exampleAgentPrompt":"Can you audit the completeness of these company records and flag any IQR outliers? I have up to 50 rows with row IDs, company groups, dates, and counts of populated_fields versus required_fields — I want both the quality audit report and the outlier flags.","exampleUseCases":[{"title":"CRM data quality review","prompt":"I have 80 company records from our CRM — each has a row ID, company group, date, and counts of how many fields are populated versus how many are required. Can you run a quality audit and flag any IQR outliers on the populated_fields column?"},{"title":"Monthly completeness anomaly detection","prompt":"We're doing our end-of-month data hygiene check. Here are 150 company records with their populated_fields and required_fields counts by group and date — run the record quality audit and IQR outlier flagging so we can spot which entries are abnormal."},{"title":"Comparing completeness across company groups","prompt":"I want to compare data completeness across our 'group-a' and 'group-b' companies over the last quarter. I have 200 rows with row IDs, dates, and populated vs required field counts — can you produce the quality audit report and outlier flags for required_fields?"}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) a record quality audit summarizing completeness metrics across the supplied company records, and (2) IQR-based outlier flags identifying rows whose populated_fields or required_fields values fall outside interquartile range thresholds. No external lookups or live data are involved — analysis is performed entirely on the submitted data.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Missing required fields (row_id, company_group, date, populated_fields, required_fields) on any row — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Non-numeric values in populated_fields or required_fields — type error","Invalid field enum value (not 'populated_fields' or 'required_fields') — rejected","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have a batch of company records (up to 200 rows) with field population counts and need both a structured quality audit and IQR-based statistical outlier detection in a single call. It is ideal for data hygiene workflows, CRM audits, or periodic completeness monitoring where no external data enrichment or live lookup is needed — just analytical computation on your own supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:43.557Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-record-quality-audit-iqr-outlier-flags-d39a74dc"}