Senzing Entity Resolution

Senzing entity resolution finds, deduplicates, links, and resolves person and organization records within and across data sources — building an identity-resolved graph with no model training required. Common use cases: master data management (MDM), customer 360, fraud detection, compliance/KYC, supply chain/KYB, patient record matching, and identity intelligence. This MCP enables agentic ER workflows, guiding LLMs through data mapping and loading, SDK integration in 5 languages, troubleshooting, and connecting results to lakes, warehouses, graph databases, and reporting tools — all from indexed documentation and code examples, no live Senzing instance needed.

Skills

• Data Mapping
  Prepare source data for entity resolution so Senzing can match and link records. Interactive 8-step workflow: profile source fields, plan entity structure, map to Senzing attributes, generate validated JSON output, and optionally test with the SDK.
  data-mappingentity-resolutionetljsonvalidationdeduplicationrecord-linkage
• SDK Integration
  Build entity resolution into your application. Scaffold working code, set up the SDK, and get API reference across Python, Java, C#, Rust, and TypeScript on 5 platforms. Includes V3-to-V4 migration guidance for existing Senzing integrations.
  sdkcode-generationpythonjavacsharprusttypescriptintegrationmigration
• Documentation & Examples
  Find answers to Senzing entity resolution questions. Full-text search across indexed documentation and 37 GitHub repositories with real code examples for configuration, deployment, and API usage.
  documentationsearchknowledge-basegithubexamplesconfigurationdeployment
• Error Troubleshooting
  Diagnose and resolve Senzing errors. Look up 456 indexed error codes with root causes, resolution steps, and links to related documentation.
  errorstroubleshootingdebuggingdiagnosticssupport
• Sample Data
  Explore real-world entity resolution data to evaluate matching quality. CORD dataset records from Las Vegas (265K+ records), London, and Moscow with discovery and pagination.
  sample-datacordtestingentity-resolutiondatasetsevaluationpoc
• Reporting & Analytics
  Extract insights from entity resolution results. SDK patterns for data export, SQL analytics queries, data mart schemas, dashboard design, and resolution quality evaluation across 5 languages.
  reportingvisualizationanalyticsdashboardsqlexportdata-quality

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