Signed-in browser automation
Run tasks in a Chrome extension on the page and account session you already use, such as filling forms, updating records, or extracting page data.
Retriever AI
Retriever AI is an AI browser agent for Chrome and Cloud that carries out tasks across the open web and signed-in sites, then returns results such as tables, datasets, structured JSON, or source-linked answers. It supports browser, Cloud, API, MCP, CLI, and SDK workflows for research, extraction, and recurring automation.
AI browser automation across Chrome and Cloud
Retriever AI is an AI browser agent for Chrome, Cloud, and programmatic workflows. It works across the open web and sites where the user is already signed in, carrying out a requested task and returning a finished result rather than only a list of pages to inspect.
Users can describe an outcome such as extracting listings into a sheet, researching and ranking prospects with source links, or updating forms and systems. The task can start in the browser, run in a Cloud browser, or be called from an app, coding agent, terminal, or MCP client.
Core features
Cloud execution and schedules
Move work to a separate Cloud browser and keep recurring jobs running without leaving a browser tab open.
API, MCP, CLI, and SDK access
Call the same browser agent from an application, CLI, SDK, or MCP client, with API examples supporting structured results such as JSON.
Outcome-based web research
Ask for an outcome rather than writing selectors or scripts; the agent can traverse relevant pages and return tables, datasets, or answers with source links when requested.
Reusable workflows and triggers
Save successful processes as reusable workflows and use triggers or webhooks to start work in response to events, page changes, or notifications.
Model and provider choice
Choose Retriever AI credits, an external provider such as ChatGPT or Claude, an API key, or a local model according to the workflow.
Use cases
Lead research and outreach
Give Retriever AI an attendee list or other event source, identify relevant people, enrich the records, and prepare outreach-oriented results. The site demonstrates email and LinkedIn follow-up as an example workflow.
Web data extraction
Collect listings or other repeated page records into a sheet or dataset, retaining source links where required. This suits research tasks that would otherwise require manual copying across many pages.
Forms and back-office operations
Use a signed-in browser session to update forms, back-office records, or connected systems while continuing other work in separate tabs.
Scheduled monitoring and follow-up
Run recurring monitoring, reports, prospecting, or follow-up in Cloud on a schedule, or start a job from a webhook, notification, or page change.
Product and agent integrations
Embed browser work in a product or agent by calling Retriever AI from an API, MCP client, CLI, or SDK and consuming the returned result in downstream workflows.
Pros and Cons
Pros
- Works in both a signed-in Chrome session and a separate Cloud browser.
- Can return task results such as structured JSON, tables, datasets, and source-linked research rather than only raw URLs.
- Supports browser use from products and agent environments through API, MCP, CLI, and SDK paths.
- Offers reusable workflows, schedules, triggers, and webhooks for recurring work on paid plans.
- Allows users to select Retriever AI models or bring an external provider or local model.
Cons
- Some automation features, including schedules, triggers, cookie sync, and Chrome control through API or MCP, require a paid plan.
- Free Mode includes sponsored cards and a daily fair-use allowance, and resource-intensive services such as enrichment or managed proxies can use credits separately.
- The collected material does not specify the full set of supported sites, detailed failure handling, or all API and MCP configuration requirements.
FAQ
How can Retriever AI be used?
Retriever AI can be used in its Chrome extension on the page where you are signed in, in a separate Cloud browser, or through its API, MCP connection, CLI, and SDK documentation paths.
What is included in the free plan?
Free Mode supports interactive tasks started in the Chrome extension or Cloud dashboard with supported AI models and Cloud browser time. It has sponsored cards and a daily fair-use allowance; new accounts also receive 100 one-time welcome credits for paid usage.
What do paid plans add?
Paid plans add ad-free runs and features such as schedules, triggers, webhooks, cookie sync, and Chrome control through API or MCP. API and WhatsApp runs use credits for the resources they consume.
What does a typical Retriever AI task return?
A task begins with a goal and, where relevant, a page or starting URL. Retriever AI plans the route, performs the browser work, and returns the requested result; API examples show structured JSON output, while other workflows can return tables or datasets with source links.
Can users bring their own AI model or provider?
Users can choose supported Retriever AI models, ChatGPT, Claude, an API key, or a local model. Using an external provider can avoid Retriever AI model-credit charges, although Cloud resources and other managed services may still consume credits.
Quick Facts
- Category
- AI browser automation
- Primary environments
- Chrome extension and Cloud browser
- Programmatic access
- API, MCP, CLI, and SDK
- Typical outputs
- Tables, datasets, structured JSON, and source-linked answers
- Free access
- Free Mode with sponsored cards and daily fair-use limits
- Paid automation
- Schedules, triggers, cookie sync, and API/MCP Chrome control
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