Declaratively define, match, merge, and master entity data across systems to produce golden records.
Sponsored
Kanoniv is a powerful identity resolution engine that enables users to define their matching logic through a declarative YAML specification. It effectively reconciles records across diverse data sources—such as CRM, billing, and support—to identify and link records referring to the same real-world entity. The tool produces high-quality 'golden records' by applying sophisticated survivorship strategies to select the best values. Powered by a fast Rust engine and offering both a local-first Python SDK and a cloud-based real-time API, Kanoniv provides robust solutions for data deduplication and entity mastering, including AI-native integrations via its Model Context Protocol (MCP) server.
Key Features
01Uses declarative YAML specifications for version-controlled identity logic
02Offline-first Python SDK with a fast, Rust-powered reconciliation engine
03Includes a comprehensive CLI for both offline and cloud workflows
04Generates golden records with built-in survivorship strategies
05Offers an AI-native MCP server for natural language queries and management
065 GitHub stars
Use Cases
01Unify customer records across CRM, billing, and support for a Customer 360 view
02Detect and deduplicate duplicate invoices and payments
