Anchor Browser

Freemium | AI Agents

Overview

Anchor Browser is a cloud-based browser infrastructure platform that gives AI agents reliable, stealthy, and scalable access to the web. Most AI agents can reason well but fail when they try to interact with real websites: they get blocked by anti-bot systems, lose session state, or crash on dynamic page layouts. Anchor solves this by providing purpose-built browser environments hosted in the cloud, each isolated and equipped with stealth capabilities built on a custom Chromium fork. The platform has raised $6 million in seed funding from Blumberg Capital and Gradient (Google's AI venture arm), reflecting its positioning at the intersection of AI agent infrastructure and enterprise automation. It supports integration with Model Context Protocol (MCP), Playwright, Puppeteer, Python, and TypeScript SDKs. Enterprises in finance, healthcare, and government use it to automate portal-based workflows that lack APIs. Pricing is a hybrid model: a free tier, a Standard plan at $50/mo, and usage-based charges on top for browser hours, proxy bandwidth, and AI steps.

Features

  • Cloud-hosted browser sessions -- Each AI agent gets its own isolated browser environment in the cloud
  • Anchor Fingerprint stealth -- Custom Chromium fork that bypasses anti-bot detection systems
  • MCP integration -- Native Model Context Protocol support for seamless LLM-to-browser control
  • Playwright and Puppeteer support -- Works with existing automation codebases via WebSocket connection
  • Agent task API -- Natural language browser control using the agent.task method without writing full scripts
  • Unlimited concurrent sessions -- Scale to thousands of parallel browser instances for enterprise workflows
  • On-premise deployment -- Deploy within AWS, GCP, or Azure for strict data residency requirements
  • Session recording and live view -- Monitor agent actions in real time with interactive live view URLs
  • Proxy infrastructure -- Built-in residential proxy at $8/GB for accessing geo-restricted or rate-limited sites
  • Python and TypeScript SDKs -- Official SDKs for both languages with clear documentation
  • Enterprise SSO and RBAC -- Single sign-on and role-based access control for team deployments
  • 89% WebVoyager benchmark score -- State-of-the-art accuracy on standard browser agent benchmarks

Best For

AI engineers building browser-based agents that need reliable, anti-bot-resistant web access, Enterprise automation teams replacing RPA bots on portals and legacy systems without APIs, Companies in regulated industries (finance, healthcare) requiring on-premise browser automation with data residency controls, Developers building multi-agent systems where each agent needs its own persistent browser session, Agencies automating client reporting, CRM enrichment, and data collection workflows at scale

How It Works

Anchor Browser works as a remote browser provider. Your AI agent or automation script connects to a cloud-hosted browser session via WebSocket or API. The agent sends instructions (either as natural language via the agent.task method or as deterministic Playwright/Puppeteer code) and the browser executes them on the live website. Anchor's stealth layer (called Anchor Fingerprint) handles anti-bot bypass by masking automation signals. For AI-native workflows, the agent.task method lets you pass a natural language prompt and a target URL; Anchor's AI layer breaks it into steps and executes them. Enterprises can deploy on their own cloud infrastructure (AWS, GCP, Azure) to keep all data within their control perimeter. Session recordings, live view URLs, and step-by-step logs are available for debugging and compliance monitoring.

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