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Arcade Review 2026: Agent Authorization, Tools, and Pricing

Give AI agents governed access to user-authorized actions across business software

Recently checkedResearch BasedFreemiumAutomationCodeProductivity
Recently Updated

Advisor score

8.2/10

Documented editorial evaluation

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The decision

Should you choose Arcade?

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.

Best for

Agents acting in user-owned SaaS accounts; Teams centralizing OAuth and tool governance.

Choose something else if

High-risk writes without confirmation; Workloads that cannot use third-party token custody

Evidence

Editorial research pending · 8.2/10

Pricing checked

See current vendor pricing · Sep 10, 2026

Free access is available, with limits.

Yes. The free tier includes 2,000 authentication events and 2,000 tool calls per month with community support.

Community choice

Recommend Arcade

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Arcade is an actions runtime for AI agents that manages OAuth, user tokens, tool execution, and policy enforcement across thousands of agent-oriented tools.

Direct verdict

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.

What to verify

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

See whether Arcade belongs in your stack

Authorization and execution in one runtime

Overall Score

8.2/10
Research Based
Last reviewed
Sep 10, 2026
Last updated
Sep 10, 2026

Editorial Review Framework

How Arcade scores

Recently Updated

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 For

  • Agents acting in user-owned SaaS accounts
  • Teams centralizing OAuth and tool governance
  • Developers shipping MCP-based actions

Not Recommended For

  • High-risk writes without confirmation
  • Workloads that cannot use third-party token custody
  • Simple agents with one stable internal API

Recommended Because…

Authorization and execution in one runtime

Scores use a 0-10 editorial scale: 9–10 exceptional, 8–8.9 strong, 7–7.9 capable with material tradeoffs, 6–6.9 limited fit, and below 6 not recommended. Scores publish only when a documented evaluation supports them.

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Reusable trial worksheet

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0/7 checks complete
  1. 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

  2. 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.

  3. 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,…

  4. 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.

  5. 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.

  6. 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

  7. 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

Open Decision Workspace

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Product interface evidence

Visual evidence statusWhat we verified without a screenshot

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.

Pricing

Freemium
Free access
Yes. The free tier includes 2,000 authentication events and 2,000 tool calls per month with community support.
Paid entry
Contact vendor or check current pricing
Billing and plan model
Free; Team from $25 per month plus usage; custom Enterprise
Material limits
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.

Editorial freshness

Recently checked

Pricing and material product claims were checked September 10, 2026.

Pros & Cons

Pros

  • Authorization and execution in one runtime
  • Useful free production-shaped allowance
  • Broad framework and MCP compatibility

Cons

  • Central credential and action dependency
  • Two usage meters plus downstream costs
  • Application-level safety remains the buyer's job

Best For

Agents acting in user-owned SaaS accountsTeams centralizing OAuth and tool governanceDevelopers shipping MCP-based actions

Community evidence

How verified users put Arcade to work

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.

Key Features

  • Managed OAuth
  • Agent authorization
  • Agent-optimized tools
  • MCP runtime
  • Policy enforcement
  • Audit logs

Integrations

  • OpenAI Agents
  • LangChain
  • CrewAI
  • Vercel AI SDK
  • Mastra
  • MCP

FAQs

What is Arcade for AI agents?

Arcade is an authorization and actions runtime that lets agents connect to user accounts, manage OAuth tokens, execute tools, and apply governance policies.

How much does Arcade cost?

Arcade lists a free tier, Team at $25 per month plus authentication-event and tool-call usage, and custom Enterprise terms.

Does Arcade support MCP?

Yes. Arcade provides hosted MCP servers, supports custom MCP tools, and connects to MCP clients and common agent frameworks.

Does Arcade make agent actions safe automatically?

No. Teams still need narrow scopes, confirmation for consequential writes, prompt-injection defenses, idempotency, monitoring, and revocation tests.

Keep Deciding

Where to go next

Material changes only

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