{"uid":"cap_AUzFVkiG09IXt-Kn7qYB1","slug":"company-record-completeness-analyzer-numeric-distribution-missing-21eed92d","name":"Company Record Completeness Analyzer — Numeric Distribution & Missing-Value Fill","description":"Company record completeness — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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-01-085?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_eLfvGtYDdGvRlRL3CVIk2","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":"Generates two local analytical reports for company record completeness data: a numeric distribution summary and an explicit missing-value fill for populated_fields or required_fields columns, over up to 200 rows.","exampleAgentPrompt":"Analyze this batch of company records for completeness — I have up to 50 rows with populated_fields and required_fields values, and I want a numeric distribution report plus fill any missing populated_fields values using median imputation.","exampleUseCases":[{"title":"CRM data quality audit","prompt":"I have 120 rows of company records with populated_fields and required_fields counts. Can you give me a numeric distribution breakdown of populated_fields and also fill in any missing values using the mean?"},{"title":"Multi-group completeness comparison","prompt":"I've got records across two company groups — group-a and group-b — with required_fields data for each date. Can you run a distribution analysis on required_fields and fill the nulls with zero so I can compare completeness across groups?"},{"title":"Pre-migration missing-value cleanup","prompt":"Before we migrate our company database, I need to impute missing populated_fields values using median and also get a distribution summary of those values across all 80 records I'm supplying."}],"resultDescription":"Two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, quartiles, count) for the specified field across all supplied rows, and (2) an explicit missing-value fill report showing which rows had nulls and what values were imputed using the chosen method (zero, mean, or median). No external data is fetched; all computation is local.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — payload exceeds limit","Invalid date format (not YYYY-MM-DD) — validation error","Field enum value not matching 'populated_fields' or 'required_fields' — schema error","Method enum not one of 'zero', 'mean', 'median' — schema error","All values for chosen field are null — distribution report may be empty or degenerate"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of company record completeness data and need both a distributional statistical summary AND a missing-value imputation report in one call. It is purpose-built for company record completeness metrics (populated_fields, required_fields) and is cost-efficient at $0.01 USDC for both reports. Prefer it over general-purpose analytics tools when your data fits the schema and you want reproducible, local (no external lookup) computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:24.523Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-analyzer-numeric-distribution-missing-21eed92d"}