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Cloud API that auto-solves reCAPTCHA, Cloudflare and other CAPTCHAs at ~99% success, pay-per-solve for automation and scraping.
Local deep packet inspection and network intelligence giving businesses full visibility into application, VPN and Tor traffic.
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.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦API solving for reCAPTCHA, Cloudflare, GeeTest, AWS WAF and more
- ✦Up to 99% success rate
- ✦Built-in proxies included
- ✦SDKs for C#, Python, JS, Go, PHP
- ✦Chrome and Firefox extensions
- ✦Pay only for solved CAPTCHAs
- ✦Affiliate and volume-bonus programs
- ✦Local deep packet inspection agent
- ✦Application identification data feeds
- ✦VPN and Tor IP datasets
- ✦Network informatics and analytics
- ✦Developer documentation
- ✦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
- →Automating CAPTCHA-gated web scraping
- →Bypassing anti-bot challenges in bots and apps
- →Integrating captcha solving into software
- →Classify application traffic on a network
- →Detect VPN and Tor usage
- →Feed DPI data into security and analytics tools
- →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