Give AI agents governed access to user-authorized actions across business software
Who should use this?
Agents acting in user-owned SaaS accounts and Teams centralizing OAuth and tool governance.
Who should avoid it?
High-risk writes without confirmation, Workloads that cannot use third-party token custody
What problem does it solve?
Arcade is an actions runtime for AI agents that manages OAuth, user tokens, tool execution, and policy enforcement across thousands of agent-oriented tools.
Would I recommend it?
Arcade earns a pilot for teams whose agents have outgrown hand-built OAuth and tool wrappers. Start with reversible actions, narrow scopes, explicit confirmations, short-lived sessions, and audited revocation. Do not mistake a large catalog for permission to expose every tool to every agent.
Advisor score
Premium review framework
Arcade is an actions runtime for AI agents that manages OAuth, user tokens, tool execution, and policy enforcement across thousands of agent-oriented tools.
Arcade earns a pilot for teams whose agents have outgrown hand-built OAuth and tool wrappers. Start with reversible actions, narrow scopes, explicit confirmations, short-lived sessions, and audited revocation. Do not mistake a large catalog for permission to expose every tool to every agent.
Build 30 read and write tasks across three approved services. Seed expired consent, revoked tokens, duplicate requests, prompt injection, ambiguous identities, rate limits, and a partial outage. Measure correct authorization, scope minimization, confirmation quality, duplicate writes, audit completeness, revocation time, p95 latency, and total cost per accepted action. Require direct verification of every consequential write.
Personal Recommendation
Arcade earns a pilot for teams whose agents have outgrown hand-built OAuth and tool wrappers. Start with reversible actions, narrow scopes, explicit confirmations, short-lived sessions, and audited revocation. Do not mistake a large catalog for permission to expose every tool to every agent.
Try the recommendation
Authorization and execution in one runtime
Overall Score
Editorial Review Framework
Who should use this?
Agents acting in user-owned SaaS accounts, Teams centralizing OAuth and tool governance, Developers shipping MCP-based actions.
Who should avoid it?
High-risk writes without confirmation, Workloads that cannot use third-party token custody
What problem does it solve?
Arcade is an actions runtime for AI agents that manages OAuth, user tokens, tool execution, and policy enforcement across thousands of agent-oriented tools.
Would I recommend it?
Arcade earns a pilot for teams whose agents have outgrown hand-built OAuth and tool wrappers. Start with reversible actions, narrow scopes, explicit confirmations, short-lived sessions, and audited revocation. Do not mistake a large catalog for permission to expose every tool to every agent.
Overall Score
8.2
Ease of Use
8.0
AI Quality
8.2
Features
8.6
Speed
8.0
Integrations
8.4
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.4
Recommended Because…
Authorization and execution in one runtime
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
Reusable trial worksheet
Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Agents acting in user-owned SaaS accounts; Teams centralizing OAuth and tool governance; Developers shipping MCP-based actions
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: Arcade lists Free at $0 with 2,000 monthly authentication events and 2,000 tool calls. Team costs $25 per month plus $0.10 per authentication event and $0.01 per tool call. Enterprise uses annual bundles and custom deployment, governance, and support terms. Model, target-service, and surrounding infrastructure costs remain separate. Reviewed September 10,…
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.3/5; AI quality 4.1/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
Review starting point: OpenAI Agents, LangChain, CrewAI, Vercel AI SDK, Mastra, MCP
Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.
Review starting point: Central credential and action dependency; Two usage meters plus downstream costs; Application-level safety remains the buyer's job
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Evaluation
Research-based
Price posture
From $0/month
Reviewed
2026-09-10
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Arcade lists Free at $0 with 2,000 monthly authentication events and 2,000 tool calls. Team costs $25 per month plus $0.10 per authentication event and $0.01 per tool call. Enterprise uses annual bundles and custom deployment, governance, and support terms. Model, target-service, and surrounding infrastructure costs remain separate. Reviewed September 10, 2026.
Free plan: Yes. The free tier includes 2,000 authentication events and 2,000 tool calls per month with community support.
Editorial freshness
Pricing and material product claims were checked September 10, 2026.
Community evidence
Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.
No approved community evidence yet. Be the first verified user to contribute.
Arcade is an authorization and actions runtime that lets agents connect to user accounts, manage OAuth tokens, execute tools, and apply governance policies.
Arcade lists a free tier, Team at $25 per month plus authentication-event and tool-call usage, and custom Enterprise terms.
Yes. Arcade provides hosted MCP servers, supports custom MCP tools, and connects to MCP clients and common agent frameworks.
No. Teams still need narrow scopes, confirmation for consequential writes, prompt-injection defenses, idempotency, monitoring, and revocation tests.
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