{"uid":"cap_bgyZu0F7GYJeR6XvDuoG0","slug":"company-record-completeness-record-quality-audit-string-normalisation-2b2a120c","name":"Company Record Completeness — Record Quality Audit + String Normalisation + IQR Outlier Flags","description":"Company record completeness — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied company record completeness records (populated_fields, required_fields). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-01-203?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_q_58OYxD_oauugxtJYw3e","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":"Runs three analytical reports (record quality audit, string normalisation, and IQR-based outlier detection) on up to 200 rows of company record completeness data (populated_fields, required_fields).","exampleAgentPrompt":"Run a record quality audit, string normalisation, and IQR outlier detection on my company completeness data — here are 50 rows with row_id, company_group, date, populated_fields, and required_fields — focus the outlier analysis on populated_fields.","exampleUseCases":[{"title":"CRM data quality health check","prompt":"I have 120 rows of CRM record completeness data with company_group, date, populated_fields, and required_fields — can you audit the quality, normalise the strings, and flag any IQR outliers in populated_fields so I can see which records are problematic?"},{"title":"Identifying under-populated company groups","prompt":"Run the record quality audit and IQR outlier analysis on these 80 rows of company completeness records — I want to know which company groups have an unusually low or high required_fields count compared to the rest."},{"title":"Pre-pipeline data validation for completeness metrics","prompt":"Before we load this batch of 200 company record completeness rows into our data warehouse, can you do a quick quality audit, string normalisation, and outlier flag pass on the populated_fields column to catch anything weird?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit identifying missing or malformed values, (2) string normalisation results for text fields like company_group, and (3) IQR-based outlier flags for the selected numeric field (populated_fields or required_fields), all derived from the supplied rows without any external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected with validation error","Invalid date format (not YYYY-MM-DD) — row rejected or error returned","Missing required fields (row_id, company_group, date, populated_fields, required_fields) — validation failure","Non-numeric values where numbers expected for populated_fields or required_fields — schema rejection","IQR outlier detection may be unreliable with very small row counts (fewer than ~10 rows)"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost, three-in-one data quality pass on a batch of company record completeness rows — specifically when you want string normalisation, record quality auditing, and IQR-based outlier flagging in a single call. It is ideal for pre-ingestion validation of CRM or ERP completeness metrics. Do not use it when you need live external data lookups, predictive modelling, or analysis of more than 200 rows at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:12.010Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-record-quality-audit-string-normalisation-2b2a120c"}