Arcade.dev Review 2026

Arcade.dev is an actions runtime that gives AI agents permission-aware tools, delegated user authorization, policy enforcement, and auditable execution.

Arcade.dev is a Agent tool authorization product worth evaluating when you have a concrete workflow, not just a vague mandate to 'add AI.' The current vendor research was based on curl fetches of the homepage and pricing page, plus available search-result text. The useful evidence was specific: pricing page listed Free $0, Team $25/month plus per-use charges, Enterprise custom, MCP compatibility, user challenges, standard/pro tool executions, hosted MCP servers, RBAC, SSO, and SAML. That makes the product easiest to judge around five practical capabilities: MCP runtime designed for secure production AI agent deployments; Connects to identity providers, enforces agent authorization, and enables actions in Google, Slack, Salesforce, and other tools; OAuth handling, permission challenges, hosted MCP servers, audit logs, RBAC, SSO, and SAML on higher tiers; Usage-based pricing based on authentication events and tool calls; Developer resources include docs, sample apps, tool patterns, LangSmith, and Arcade Tools. Builders should test those capabilities with production-shaped inputs, because AI demos often hide the real costs: setup time, review time, integration friction, and failure cases.

Pricing matters here. The researched pricing snapshot is: Free $0 — 2,000 authentication events and 2,000 tool calls per month on Arcade Cloud, with community support.; Team $25/month + usage — a \$25 monthly platform fee, authentication events at \$0.10 each, tool calls at \$0.01 each, and next-business-day email support.; Enterprise Custom — Dedicated infrastructure, custom pricing, dedicated account representative, custom SLAs, tenant isolation, audit logs, RBAC, SSO, and SAML.. Do not treat that as a procurement quote; treat it as enough context to decide whether this belongs in a free experiment, a small team pilot, or enterprise buying. The vendor pages exposed enough readable evidence to summarize pricing and core capabilities, but buyers should still confirm plan limits before signing. If usage is metered, model the cost around your real volume: minutes of video, tool executions, memories, users, or engineering tasks per month.