Arcade.devFreemium
One control point for the actions agents take in real systems — user-scoped auth, 8,000+ permission-aware tools, and an audit trail per action.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
One control point for the actions agents take in real systems — user-scoped auth, 8,000+ permission-aware tools, and an audit trail per action.
Isolated sandboxes where an AI agent can run the code it just wrote without touching anything you care about.
| Arcade.dev | E2B | |
|---|---|---|
| Pricing | FreemiumFree $0/month with 2,000 auth events and 2,000 tool calls, community support, no credit card. Team $25/month plus usage at $0.10 per auth event and $0.01 per tool call, with next-business-day email support. Enterprise is custom with annual bundles, cloud, VPC or air-gapped deployment, SSO, RBAC, audit logs, private registry access, and 24/7 SLA. Priced by what agents do, not per seat. | FreemiumHobby is free with $100 one-time usage credits, community support, sessions up to 1 hour, and 20 concurrent sandboxes; no credit card required. Pro is $150/month with customisable sandbox CPU and RAM, sessions up to 24 hours, and 100 concurrent sandboxes, expandable by purchase to 1,100. Enterprise is custom. Compute is billed per second on vCPU, RAM, and storage on top of the plan fee. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Platform teams putting agents into production against real SaaS systemsSecurity teams that have blocked an agent project over service-account accessCompanies building internal agents on Salesforce, Google Workspace, or SlackTeams standing up MCP servers who need auth and audit around them | Teams shipping code-interpreter or data-analysis agent featuresAI product companies that must isolate customer-triggered code executionPlatform engineers building internal agent runtimesAnyone letting an LLM run generated code against real data |
Arcade.dev is built around platform teams putting agents into production against real saas systems; E2B leans more toward teams shipping code-interpreter or data-analysis agent features. Shortlist the one whose strengths line up with your biggest constraint.
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