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Managed headless-Chrome infrastructure that runs Puppeteer/Playwright scripts at scale with anti-bot bypass, so teams skip browser ops.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
AI agent-based end-to-end testing platform for SaaS teams that runs exploratory and PR-triggered tests without maintaining test scripts.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
No public pricing
Free trial available
No public pricing
No public pricing
- ✦Managed headless browsers (browser-as-a-service)
- ✦Drop-in Puppeteer/Playwright support
- ✦Anti-bot bypass and CAPTCHA solving
- ✦Screenshot, PDF and download APIs
- ✦MCP server for AI agents
- ✦Self-hosted and cloud deployment
- ✦Live debugger and observability
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦AI agents that visually explore and test UI like a real user
- ✦Automatic PR-triggered test runs via GitHub/Vercel preview integration
- ✦Self-healing tests that adapt to UI and workflow changes
- ✦Mobile web, iOS, and Android app testing support
- ✦Detailed debugging with screenshots, logs, and failure reasoning
- ✦Cloud-native execution with no source-code access required
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- →Run web scraping without infrastructure headaches
- →Automate browser workflows and tests
- →Give AI agents a reliable browser
- →Generate screenshots and PDFs via API
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Engineering teams wanting regression testing without maintaining scripts
- →SaaS companies needing continuous QA feedback on every pull request
- →Teams replacing manual QA hours with automated agent-driven testing
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics