Arcade
PlatformFreeDelegated-auth tool platform — agents act as the user in Gmail/Slack/GitHub via managed OAuth.
- Best for
- delegated oauth management for agents, prebuilt tool registry for agents, runtime evaluation of tool calls
- Type
- Platform · Free
- Score
- 56/100
- Best alternative
- LangChain
Capabilities4 decomposed
delegated oauth management for agents
Medium confidenceArcade automates the OAuth authorization process for agents, allowing them to securely access user accounts in services like Gmail, Slack, and GitHub. By managing the OAuth flow, Arcade eliminates the need for developers to handle tokens, ensuring a smoother integration experience and enhanced security.
Utilizes a streamlined OAuth flow specifically tailored for AI agents, reducing the complexity typically associated with user authentication in SaaS integrations.
Simplifies OAuth management compared to manual implementations, providing a more reliable and secure solution for agent-based applications.
prebuilt tool registry for agents
Medium confidenceArcade provides a comprehensive registry of prebuilt tools optimized for AI agents, allowing developers to quickly integrate functionalities without building from scratch. These tools are designed to work seamlessly within the Arcade runtime, ensuring reliability and performance.
Offers a curated selection of tools specifically designed for agent use, ensuring higher reliability and lower costs compared to generic API wrappers.
Faster deployment of agent capabilities than building custom integrations, as it leverages a library of tested tools.
runtime evaluation of tool calls
Medium confidenceArcade evaluates tool calls in real-time, allowing agents to make decisions based on the outcomes of previous actions. This runtime evaluation ensures that agents can adapt their behavior dynamically based on user interactions and tool responses.
Incorporates a built-in evaluation mechanism that allows agents to respond to real-time data, enhancing their adaptability and effectiveness.
More responsive than static tool calls, as it allows agents to adjust their actions based on live feedback and results.
mcp runtime for production ai agents
Medium confidenceArcade is a platform that enables the deployment of production-ready AI agents capable of performing actions across various SaaS applications securely and efficiently. It manages OAuth for delegated access, allowing agents to act on behalf of users without complex token handling, making it ideal for enterprise-level applications.
Arcade uniquely combines a managed OAuth layer with a runtime specifically designed for AI agents, eliminating the need for developers to handle token management directly.
More secure and user-friendly than traditional service account methods, as it provides scoped permissions without the complexity of token management.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓developers integrating AI agents with SaaS platforms
- ✓teams needing secure user authentication
- ✓developers looking to accelerate AI agent development
- ✓teams needing reliable tools for agent functionalities
- ✓developers building responsive AI agents
- ✓teams needing adaptive agent functionalities
- ✓developers building secure AI agents
- ✓teams integrating AI with SaaS applications
Known Limitations
- ⚠may require user interaction for initial authorization
- ⚠not all services may support delegated access
- ⚠limited to tools available in the registry
- ⚠custom tools may require additional development effort
- ⚠evaluation may introduce latency
- ⚠complex tool chains can complicate evaluations
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
About
Agent tool-calling platform that solves delegated auth: agents act on a user's behalf in Gmail, Slack, GitHub, Calendar and 100+ services through Arcade-managed OAuth — no token handling in your code, no shared service accounts. Provides a registry of prebuilt tools, an SDK for custom ones, and runtime evaluation of tool calls, exposed via API or MCP. The missing 'sign in and act as me' layer most agent stacks lack. Best for production agents that must take real actions in user-owned SaaS accounts with auditable, scoped permissions. Limitation: another runtime dependency in the loop; per-call pricing at scale.
Categories
Alternatives to Arcade
OpenAI's official agent framework — agents, handoffs, guardrails, sessions, built-in tracing.
Compare →Anthropic's official agent SDK — the Claude Code harness (tools, MCP, subagents, permissions) as a library.
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Compare →Are you the builder of Arcade?
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