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Serverless cloud browser API with persistent sessions, built-in stealth and proxies, for AI agents, automation and scraping.
Unified API gateway to 500+ AI models (GPT, Claude, Sora, image/video) with OpenAI-compatible endpoints and discounted usage.
Test-automation platform for web, API, mobile, and desktop with no-code to full-code authoring and cloud execution.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Free trial available
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Serverless cloud Chromium browsers
- ✦Persistent logged-in sessions
- ✦Built-in stealth / anti-detect fingerprinting
- ✦Residential & datacenter proxies in 150+ countries
- ✦Playwright/Puppeteer WebSocket connection
- ✦Headful mode for live inspection
- ✦Fully managed TiDB service
- ✦Easy deployment on AWS, Google Cloud, Azure, and Alibaba Cloud
- ✦Scalable and reliable MySQL-compatible database
- ✦Elastic scaling of storage, transactional, and analytical workloads
- ✦Robust security compliance (SOC 1/2/3, ISO 27001/27701, PCI DSS, GDPR, HIPAA)
- ✦Single OpenAI-compatible API for 500+ models
- ✦Chat, image, video and audio models
- ✦Discounted per-request pricing
- ✦One dashboard for keys, quotas and usage
- ✦Multi-region routing and failover (99.9% uptime)
- ✦Multiple payment methods incl. crypto
- ✦No-code, low-code and full-code test authoring
- ✦Web, API, mobile and desktop testing
- ✦Test management and planning
- ✦Cloud-based test execution
- ✦Reporting and analytics
- ✦AI-assisted test generation and monitoring
- ✦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
- →Running AI browser agents
- →Web scraping at scale
- →Automating logged-in workflows
- →Debugging automation in live sessions
- →Building mission-critical applications requiring scalable and reliable databases
- →Managing and scaling transactional and analytical workloads
- →Deploying databases across multiple cloud providers and regions
- →Ensuring data security and compliance with industry standards
- →Accessing many AI models via one API
- →Cutting AI model API costs
- →Building multimodal AI apps
- →Consolidating AI billing and keys
- →Automate regression testing
- →Unify API, web and mobile tests
- →Manage manual and automated tests together
- →Scale test execution in the cloud
- →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
