{"uid":"cap_ys80SZp4zpXNjJOM3nsAI","slug":"company-record-completeness-numeric-distribution-iqr-outlier-flags-3216cd9a","name":"Company Record Completeness — Numeric Distribution & IQR Outlier Flags","description":"Company record completeness — Numeric distribution + IQR outlier flags: Numeric distribution + 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-01-080?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_MxDiDqZ_EI41ZOXYELc-2","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":"Computes numeric distribution statistics and IQR-based outlier flags for up to 200 company record completeness rows (populated_fields or required_fields), returning two analytical reports per call.","exampleAgentPrompt":"Analyze the distribution of populated_fields for these 150 company records across group-a and group-b, and flag any IQR outliers — I want to see which records have unusually high or low field completion counts.","exampleUseCases":[{"title":"Data quality audit across business units","prompt":"I have 180 company records from our CRM across three business groups, each with populated_fields and required_fields counts. Can you run a numeric distribution analysis and flag any records where the populated_fields value is an IQR outlier so I know which companies have suspiciously incomplete data?"},{"title":"Monitoring required fields completeness drift","prompt":"Here are 90 company records from our last data sync — I need a distribution summary and IQR outlier flags on the required_fields column so I can see if any company groups are consistently falling short of expectations."},{"title":"Pre-migration data validation check","prompt":"Before we migrate these 200 company records to our new system, can you analyze the spread of populated_fields values and identify any outliers using IQR? I want to catch any records that look statistically anomalous before the move."}],"resultDescription":"Two analytical reports covering: numeric distribution statistics (min, max, mean, median, quartiles, standard deviation) and IQR-based outlier flags for the specified field (populated_fields or required_fields) across the submitted rows, identifying which records fall outside the interquartile range bounds.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds limit","Missing required fields (row_id, company_group, date, populated_fields, required_fields) — schema validation failure","Invalid date format not matching YYYY-MM-DD pattern — rejected","Invalid field enum value — rejected","All null values for selected numeric field — unable to compute distribution"],"whenToPreferThis":"Use this endpoint when you need fast, offline statistical analysis (distribution + IQR outlier detection) on company record completeness data without requiring any external lookup, prediction, or live data. It is ideal for batch data quality audits, pre-migration checks, or CRM health reviews where you have up to 200 rows of populated_fields/required_fields data ready to analyze locally. Prefer this over general-purpose analytics tools when you need two independent completeness reports in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:31.744Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-numeric-distribution-iqr-outlier-flags-3216cd9a"}