Why do AI agents get blocked?

Your AI agent can browse websites, interact with APIs and automate workflows. But when it starts interacting with real services, it often runs into access restrictions problem.

This happens because services have systems designed to protect their platforms from abuse. They evaluate more than just what a user does. They may also consider the device, network, account history and interaction patterns.

The environment an agent runs in matters. A headless server or emulator is not the same as a real mobile device, and that difference can affect how services interact with it.

Why the problem exists

Websites and mobile apps have to protect themselves from abuse. Fake account creation, credential stuffing, excessive scraping and automated spam can create significant problems for both platforms and their users.

To manage this, services use different signals to assess whether activity is legitimate.

Some common examples include:

• Network origin. Services may evaluate where traffic originates and the reputation of the associated IP address. Traffic from cloud datacenter ranges can receive different risk assessments from traffic originating through other network types.
• Browser fingerprint. Browsers expose information about their environment, including configuration, capabilities and rendering behavior. Some automated browser setups can expose characteristics that differ from typical user environments.
• Device integrity. Mobile platforms provide mechanisms that allow apps to assess aspects of the device and application environment. Google's Play Integrity API and Apple's App Attest are examples of technologies used in these security systems. How they are used depends on the individual app.
• Interaction patterns. Extremely frequent requests, repetitive actions, unusual navigation patterns or inconsistent login behavior can trigger additional scrutiny.
• Account and device history. Services may consider previous logins, device history and session information when assessing activity. A newly created environment has none of this history.

These signals don't automatically mean an agent is doing something wrong. A legitimate automated workflow can still encounter restrictions simply because of the environment it runs in.

The result is that an agent may struggle to interact with a service even when the task itself is straightforward.

What you can do today

There are several ways to make automated workflows more reliable. The right approach depends on the service, the type of automation and the access it permits.

Use official APIs or request access.

If a service provides an API, use it. For workflows that require broader access, look for partner programs or request explicit permission. An approved integration is generally more reliable than automating the user interface.

Respect rate limits.

Automation should follow the service's documented usage limits. Avoid unnecessary requests, repetitive actions and excessive retries. Implement backoff and error handling rather than continuously retrying failed operations.

Use supported browser and device environments.

Some workflows depend on specific browser capabilities or mobile device features. Choose an environment that supports the application and its documented requirements rather than relying on an unsupported or heavily modified setup.

Maintain persistent sessions where permitted.

Repeatedly starting from a blank environment can mean repeating login, configuration and onboarding steps. A persistent environment helps preserve application state and reduces unnecessary setup between executions. Services can still expire sessions or request reauthentication.

Respect access restrictions.

Some services explicitly prohibit automation or restrict certain workflows. If access is denied, work through the service's approved channels rather than attempting to circumvent its restrictions.

How Matix and Mobilerun approach it

Matix is a mobile runtime for AI agents: isolated, stateful real phones that agents can control through an API.

Most agent workflows run on servers, browsers or emulators. These environments are useful for many tasks, but they don't provide the same execution environment as an actual mobile device.

Matix gives agents access to real mobile hardware and native applications. This changes a few things:

1. Real mobile device environments

Instead of relying on an emulator or headless environment, agents can interact with applications running on physical Android and iOS devices. This is useful for workflows that depend on native app behavior or device capabilities.

2. Persistent device state

Devices retain their application environment between executions. Apps can maintain their local state and existing sessions, subject to their own authentication and session policies.

This means an agent can return to an existing environment instead of rebuilding everything from scratch for every task.

3. Native app capabilities

Agents can interact with actual mobile applications and device-level functionality, including supported permissions, notifications and native app flows.

This is particularly relevant for applications where a browser-based workflow isn't available or doesn't provide the functionality needed.

The distinction is important: a real device provides a different execution environment, not immunity from anti-bot systems. Device integrity checks, account restrictions and platform policies still apply. A physical device does not guarantee that an application will permit automated access.

Mobilerun is the open-source framework that allows developers to build and execute mobile automation workflows on top of this infrastructure.

The relationship is simple:

• Matix: Provides the mobile runtime and device infrastructure.
• Mobilerun: Provides the framework agents use to interact with mobile applications.

We don't promise that an agent will never encounter a block or restriction. Services control their own access policies, and those policies can change. The goal is to provide a suitable mobile execution environment for legitimate automation, not to circumvent platform security.

Customers are responsible for complying with applicable laws and the terms and automation policies of the services they use.

When Matix is not a fit

A real mobile device isn't the answer to every automation problem.

• The service prohibits automation. A different device doesn't change the service's rules. If automated access isn't permitted, you should respect that restriction.
• There is an official API. Use it. APIs are generally more stable, efficient and predictable than UI automation.
• You need high-volume scraping without permission. Matix isn't intended to circumvent access restrictions or facilitate unauthorized data collection.
• You expect guaranteed access. No device or runtime can guarantee that a service won't challenge, restrict or block an account.
• A simulator is sufficient. If you're testing an application you own and control, a simulator or emulator may be all you need.

The objective isn't to make every agent work everywhere. It's to give agents an appropriate execution environment for the applications and workflows they're authorized to use.