{"uid":"cap_zXoyiQgdbzueeYDv23sQJ","slug":"company-record-completeness-numeric-row-ordering-iqr-outlier-flags-8fd05a44","name":"Company Record Completeness – Numeric Row Ordering & IQR Outlier Flags","description":"Company record completeness — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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-01-119?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_rHpHFrcKJCqR6LrI-imf0","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":"Ranks company records by populated_fields or required_fields values and flags statistical outliers using IQR analysis, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you rank these company records by populated_fields and flag any IQR outliers? I have about 50 rows with row IDs, company groups, dates, and both populated_fields and required_fields counts — analyze populated_fields for me.","exampleUseCases":[{"title":"Data quality audit before CRM migration","prompt":"I'm about to migrate our CRM data and need to find which company records have suspiciously low or high populated_fields counts. Can you rank all 120 company records by populated_fields and flag the statistical outliers using IQR so I know which ones to clean up first?"},{"title":"Identify incomplete company profiles by group","prompt":"We have 80 company records across three groups — group-a, group-b, and group-c — and I need to order them by required_fields and flag any records that are outliers so the data team can investigate why some companies have abnormal required field counts."},{"title":"Weekly completeness monitoring report","prompt":"Every Monday I want to check our company data completeness. Here are this week's 150 rows with populated_fields and required_fields — can you sort them numerically by populated_fields and highlight which records fall outside the normal IQR range so I can report anomalies to the team?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric row ordering report ranking the submitted company records by the selected field (populated_fields or required_fields), and (2) an IQR outlier detection report flagging records whose values fall outside the interquartile range. Both reports operate on the same batch of up to 200 rows using local statistical engines with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — request rejected","Invalid date format (non-YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, company_group, date, populated_fields, required_fields) — rejected","Null values in both numeric fields may reduce outlier detection accuracy","Invalid field enum value — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of company record completeness data — specifically numeric ordering and IQR-based outlier detection — without any external API calls, live lookups, or ML predictions. Ideal for data quality workflows, pre-migration audits, or periodic completeness monitoring on batches of up to 200 company records. At $0.01 USDC you get two reports per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:48.914Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-numeric-row-ordering-iqr-outlier-flags-8fd05a44"}