# SDK and Libraries

Kaizen AI provides a collection of SDKs and libraries to accelerate integration and experimentation across different developer ecosystems.

#### JavaScript SDK

* Prebuilt methods for querying Kaizen Scores, analytics, and wallet intel
* Built-in caching, retry logic, and error handling
* NPM installation: `@kaizen-ai/sdk`
* Supports browser-based and Node.js environments

#### Python Libraries

* Python bindings for programmatic access to Kaizen AI APIs
* Integration with Jupyter and data science tools for in-depth analysis
* Suitable for building bots, dashboards, or ML models using Kaizen data

#### Code Examples

* Real-world examples of token scanning, address monitoring, and project scoring
* Ready-to-use scripts in JS, Python, and TypeScript
* GitHub examples with comments and guides

#### Integration Samples

* React and Vue components for frontend scoring visualization
* API hooks for chatbots and Discord/TG bots
* Integration plugins for external dashboards (Grafana, Dune)

#### Best Practices

* Authentication and token rotation
* Rate limit handling
* Caching and batching strategies