{"uid":"cap_Vym80zaG5cZcpZTrsO6sB","slug":"company-record-completeness-record-quality-audit-missing-value-fill-ee4d172b","name":"Company Record Completeness — Record Quality Audit + Missing-Value Fill","description":"Company record completeness — Record quality audit + Explicit missing-value fill: Record quality audit + 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-01-019?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_PiiGuOjk36z_ofXbwHQBa","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 for quality issues and fills missing populated_fields or required_fields values using zero, mean, or median imputation.","exampleAgentPrompt":"Can you run a record quality audit and fill in any missing populated_fields values using median imputation on my company completeness dataset? I have rows for group-a and group-b from October 2026 with up to 200 entries.","exampleUseCases":[{"title":"CRM data completeness audit","prompt":"I have a batch of up to 150 company records from our CRM export with populated_fields and required_fields counts per group — can you audit them for quality issues and flag any problems? The records span from 2026-01-01 to 2026-03-31 across group-alpha and group-beta."},{"title":"Missing field imputation for analytics","prompt":"Some of my company completeness rows for group-west and group-east are missing required_fields values — can you fill those gaps using mean imputation so I can run my monthly completeness report? I have about 80 rows dated between 2026-09-01 and 2026-09-30."},{"title":"Data governance review for multiple company groups","prompt":"Before I load this dataset into our data warehouse, can you audit the record quality and fill any null populated_fields entries with zero for all 200 rows covering company groups north, south, and central, dated 2026-Q1?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying anomalies, nulls, and data issues across the submitted rows, and (2) an explicit missing-value fill report showing imputed values for the chosen field (populated_fields or required_fields) using the selected method (zero, mean, or median). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Rows array is empty or exceeds 200 items — returns validation error","row_id missing or blank — schema validation failure","date field does not match YYYY-MM-DD pattern — rejected with pattern error","populated_fields or required_fields outside allowed numeric range — validation error","Invalid method enum value (not zero/mean/median) — rejected","Invalid field enum value — rejected","All values present with no nulls — imputation report notes nothing to fill"],"whenToPreferThis":"Choose this endpoint when you have a local batch of up to 200 company record completeness rows and need both a quality audit and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for data governance workflows, pre-load validation, and analytics prep where no live external data lookup is needed and the analysis can be performed entirely on the supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:01.765Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-record-quality-audit-missing-value-fill-ee4d172b"}