{"uid":"cap_hsIoPjlnNkX6WL8Qie5Fg","slug":"company-record-completeness-duplicate-key-report-iqr-outlier-flags-e98f5019","name":"Company Record Completeness — Duplicate Key Report + IQR Outlier Flags","description":"Company record completeness — Duplicate key report + IQR outlier flags: Duplicate key report + 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-01-065?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_eOmaNjm8VFUr3k5Qr4dgW","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":"Analyzes up to 200 company record completeness rows to produce a duplicate key report and IQR-based outlier flags for populated_fields or required_fields values.","exampleAgentPrompt":"Can you run a duplicate key report and IQR outlier check on my company completeness records? I have rows with row_id, company_group, date, populated_fields, and required_fields — I want to analyze the populated_fields column across up to 200 rows.","exampleUseCases":[{"title":"CRM data quality audit","prompt":"I have 150 company records from our CRM with row IDs, company groups, dates, and counts of populated vs required fields. Can you run a duplicate key check and flag any IQR outliers in the populated_fields column so I know which records look suspicious?"},{"title":"Completeness regression after ETL pipeline","prompt":"After our ETL ran last night, I have a batch of company completeness rows I want to validate. Can you check for duplicate row keys and flag statistical outliers in the required_fields values using IQR?"},{"title":"Multi-group completeness comparison","prompt":"We have company completeness data split across group-a and group-b for October — about 80 rows total with populated_fields and required_fields counts. Can you identify any duplicate keys and highlight which rows are IQR outliers in populated_fields?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated key combinations, and (2) an IQR outlier flag report marking rows whose selected numeric field (populated_fields or required_fields) falls outside the interquartile range bounds. Both reports cover the supplied data only — no external lookups or predictions are made.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the limit and is rejected","Missing required fields (row_id, company_group, date, populated_fields, required_fields) causes schema validation failure","Invalid date format (not YYYY-MM-DD) causes a parsing error","All-null numeric values may produce empty or degenerate IQR output","Payment of 0.01 USDC not included or rejected causes request to fail"],"whenToPreferThis":"Choose this endpoint when you have up to 200 company record completeness rows and need both a duplicate key report and IQR outlier detection in a single call. It is ideal for lightweight data quality audits on supplied data without needing external lookups, live data connections, or ML-based predictions. Prefer this over generic statistical tools when you specifically need IQR-based outlier flagging combined with deduplication for company-scoped completeness metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:02.752Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-duplicate-key-report-iqr-outlier-flags-e98f5019"}