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

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