Permit.io
Permit.io · Coding
Permit.io is a full-stack authorization platform for developers who need fine-grained access control in their apps, APIs, and AI agents. You model roles, attributes, and relationships once, then enforce decisions with a single SDK call from your backend. Think of it as authorization as a service for teams that would rather not build and maintain a permissions engine from scratch.
About Permit.io
What Is Permit.io
Permit.io is an authorization service that sits between your application and your policy logic. Instead of hardcoding "who can do what" across dozens of endpoints, you describe your rules as roles, attributes, or relationships, and Permit.io answers the question at runtime: can this user perform this action on this resource? The platform handles more than a simple yes or no. It also filters data by permission, checks many permissions at once, and lists every user who can act on a given resource.
The core idea is a policy decision point (PDP) that runs next to your services. It evaluates policy written in OPA or Cedar and returns an allow or deny, and every decision gets logged for auditing. You can use the managed cloud PDP, run a container in your own network, or run a self-hosted PDP for large data sets. The same flow applies to a person clicking a button and to an AI agent calling a tool.
The biggest limitation is scope. Permit.io assumes you have a real backend to integrate with. If you're looking for a drop-in login system or a user database, this isn't it. It handles authorization, not authentication, and you still need an identity provider to tell Permit.io who the user is. That line trips people up.
Getting Started
- Sign up for a workspace and pick the authorization model that matches your app (RBAC, ABAC, ReBAC, or policy as code).
- Model your resources and roles in the dashboard, or import policy files from your repository.
- Install an SDK for Node.js, Python, Go, or another supported language and connect your API key.
- Call
permit.check()in your backend to enforce a permission before an action runs. - Deploy the PDP where your services run, then review decision logs to confirm the behavior.
Product Information
A quick look at Permit.io's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Backend developers
- Platform and security teams
- AI engineers securing agents
Tasks
- Enforcing role-based access
- Filtering data by permission
- Auditing access decisions
- Securing AI agent tool calls
Scenarios
- A SaaS product adding multi-tenant permissions
- An API with complex, changing rules
- A compliance-driven rollout
Key features
Policy as code or in the UI
You can model permissions visually in the dashboard or write them as code and keep them in version control. Teams that want code review on policy changes get it; teams that want to move fast without touching a repo can do that too. Both paths feed the same engine.
One check call across every SDK
Every SDK exposes the same permit.check() call. Node.js, Python, Go, they all work the same way. Learn the pattern once and reuse it in each service. The call asks a simple question, and the PDP returns allow or deny based on the policy that your team defined earlier and keeps in version control.
Go beyond a single yes or no
Authorization rarely stops at one question. Permit.io supports bulk checks for lists and dashboards, returns everything a user can do across resources, and lists the users authorized to act on a resource. There's even a check that finds every tenant where a user has a permission.
PDP deployment options
The policy decision point can run as a managed cloud service, as a container next to your services, or as a self-hosted PDP for large data sets inside your network. That choice matters when you have data residency rules or latency budgets to hit.
Audit logs and debug mode
Every decision is logged. The log records why it was made, down to the role and tenant that granted access. You can forward those logs to your own stack or a SIEM, and use debug mode to trace a specific denial without guessing at what the policy engine saw.
AI agent and MCP gateway controls
Permit.io puts a gateway in front of MCP servers so each tool call is checked against policy and logged. For teams wiring up AI agents that can read files or hit external APIs, that turns an open door into a guarded one.
Embeddable access requests
Permit Elements let you drop access-request and team-management screens into your own product. Users ask for access. Admins approve it. You skip building a permissions UI from scratch.
Pros and cons
Pros
- One check call works across all supported SDKs, so integration is predictable.
- Supports RBAC, ABAC, ReBAC, and policy as code in a single product.
- Decision logs explain each result, which helps during audits and debugging.
- Flexible PDP deployment covers cloud, self-hosted, and large-scale needs.
- Covers AI agent security through an MCP gateway, not just classic apps.
Cons
- It handles authorization only, so you still need a separate identity provider for login.
- The range of models and deployment options takes time to understand if you're new to access control, and sorting out which one fits your stack can take longer than the integration itself.
- No native mobile app, so all setup and review happens in the browser.
Frequently asked questions
It's an authorization service that answers whether a user can perform an action on a resource. You call it from your backend, and it returns allow or deny based on the policy you defined.
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