What is arcade.dev?

Arcade serves as a specialized AI tool-calling platform designed to bridge the gap between artificial intelligence and external systems. It enables AI models to securely connect and interact with a wide range of resources, including APIs, email clients, calendars, files, and other critical data sources. This connection is facilitated through authenticated integrations, often referred to as 'tools' in AI terminology. By leveraging Arcade, developers can build sophisticated AI assistants that move beyond conversational capabilities to actively perform tasks and execute actions on behalf of users within secure environments.

The platform offers flexibility for developers through multiple integration options. Ready-to-use, pre-built connectors are available for popular services like Gmail, Slack, and Spotify, allowing for rapid implementation and deployment. For more specific requirements, Arcade provides a custom Software Development Kit (SDK) enabling the creation of tailored integrations. Key features emphasize security and reliability, including robust Agent Authentication for managing access to OAuth-enabled services without token complications, and Tool Evaluations for benchmarking interaction performance. Furthermore, Arcade supports various deployment models, allowing it to run in the cloud, within a private VPC, or on-premises to suit different infrastructure needs.

Features

Agent Auth: Enable AI to act with secured access to any OAuth-enabled service without managing tokens.
Pre-Built Connectors: Drop-in integrations for services like Gmail, Slack, X, Spotify, etc.
Custom Tool SDK: Create tailored integrations to extend functionality.
Tool Evaluations: Automate and benchmark LLM-Tool interactions for reliable performance.
Flexible Deployment: Run Arcade in the cloud, your VPC, or on-premises.
Secure Tool Calling: Allows AI to securely call APIs and interact with systems on behalf of users.

Use Cases

Building AI assistants that can manage emails and calendars.
Developing AI agents capable of interacting with CRMs or internal databases.
Creating chatbots that can execute actions via APIs (e.g., posting to social media, triggering workflows).
Integrating AI functionalities securely into existing applications.
Automating tasks requiring access to authenticated services.