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Human-friendly API testing client for terminal, desktop and web, known for readable syntax; the CLI is open source.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Managed headless-Chrome infrastructure that runs Puppeteer/Playwright scripts at scale with anti-bot bypass, so teams skip browser ops.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Human-friendly command-line HTTP client
- ✦Web and desktop GUI apps
- ✦Simple, readable request syntax
- ✦Request export/import and history
- ✦Path parameters and 'copy as command'
- ✦Open-source terminal version
- ✦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
- ✦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
- ✦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
- →Testing REST APIs
- →Sending and inspecting HTTP requests
- →Debugging web services
- →Sharing API requests across a team
- →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
- →Run web scraping without infrastructure headaches
- →Automate browser workflows and tests
- →Give AI agents a reliable browser
- →Generate screenshots and PDFs via API
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics