Nango is the integration layer designed for AI-built and code-owned product integrations. It empowers engineering teams to connect their applications and AI agents to over 800 APIs seamlessly. Nango removes the complexity of building and maintaining custom integrations by providing a unified infrastructure that handles authentication, token management, rate limiting, and data synchronization. By using TypeScript, Nango allows developers to define integration logic as code, which can then be version-controlled, tested, and deployed across isolated environments.

Functionality within Nango revolves around two core primitives: Auth and Functions. The Auth primitive manages the complexities of OAuth, API keys, and user permissions across hundreds of providers. The Functions primitive provides a robust runtime for executing integration logic, such as data synchronization, webhook processing, and performing API actions. Nango’s infrastructure is built for scale, featuring tenant isolation and high-concurrency support, ensuring reliable performance as integration demands grow.

Some of the key features are:

• Extensive API Coverage: Support for over 800+ pre-built API integrations, covering various categories like CRM, HR, Accounting, and more.
• AI-Powered Generation: Generate integration logic in TypeScript using AI coding agents, allowing for rapid development and customization.
• Agentic Infrastructure: Expose integrations as tools for AI agents through tool-calling schemas and MCP (Model Context Protocol) support.
• Tenant Isolation: Secure infrastructure ensuring credentials, runs, and data are isolated per customer.
• High-Concurrency Runtime: Elastic, serverless-based execution built to handle billions of API requests and high-throughput webhooks.
• Unified API Models: Ability to normalize requests and responses across different APIs, simplifying integration logic for developers.
• Robust Observability: Built-in logs, metrics, and alerting, with the ability to export data to external observability stacks.
• Production Controls: Support for isolated environments, CI/CD pipelines, and RBAC to manage team permissions safely.

Nango operates by providing developers with a code-first platform where integration definitions are managed within their own codebase. Developers can trigger integrations via Nango's API, SDKs, or through direct interaction with AI agent interfaces. This approach provides transparency and control, making it easier to debug, test, and maintain integrations as requirements evolve or as customer needs change.

Some common use cases include:

• AI Agent Tool Calling: Equipping AI agents with secure, observable access to external third-party tools and data sources.
• Data Synchronization: Maintaining up-to-date data between internal products and external platforms through efficient, incremental syncs.
• Webhook Processing: Handling high-volume incoming webhooks from external providers to trigger real-time actions and updates.
• Unified API Interfaces: Normalizing fragmented third-party API data into a single, stable interface for internal consumption.
• Custom Integration Logic: Tailoring behavior on a per-customer basis without the need for complex, manual maintenance work.