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Pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
No public pricing
Kane CLI Free: $0/mo (200 credits/month)
Kane CLI Starter: $19/mo (2,000 credits/month)
Kane CLI Pro: $99/mo (10,000 credits/month)
KaneAI Web: $199/mo billed annually (500 AI authoring sessions/month)
KaneAI Mobile + Web: $299/mo billed annually (10,000+ real devices)
Live Virtual: $15/mo billed annually (per parallel session)
Free trial available
No public pricing
Core features
- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK access
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- ✦Online Browser Testing
- ✦Selenium Testing
- ✦Test Manager
- ✦Playwright Testing
- ✦HyperExecute
- ✦Accessibility Testing
- ✦Real Devices Cloud
- ✦Visual Regression Cloud
- ✦Test Intelligence
- ✦Automation Testing Cloud
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
Use cases
- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
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- →Testing websites and web apps across different browsers and operating systems.
- →Running Selenium, Playwright, and Appium automation tests on a scalable cloud infrastructure.
- →Testing mobile applications on real devices.
- →Using AI to debug and analyze test results.
- →Planning, authoring, and evolving tests using natural language with KaneAI.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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