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Mintlify
✓ verifiedFreemium
AI documentation platform with clean design and dev-friendly features.
👁 718K/mo
Pricing
Essential: $29 per seat/mo (billed annually) + $0.99 per Fin resolution
Advanced: $85 per seat/mo (billed annually) + $0.99 per Fin resolution
Expert: $132 per seat/mo (billed annually) + $0.99 per Fin resolution
Fin AI Agent (on existing helpdesk): $0.99 per Fin resolution (50 resolutions per month minimum)
Copilot: $29 per agent/mo (billed annually)
Proactive Support Plus: $99 /mo
Starter: $0/mo (10,000 AI credits/month)
Free trial available
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
Core features
- ✦Fin AI Agent for automated customer support
- ✦Omnichannel support (inbox, tickets, phone, help center)
- ✦AI-enhanced inbox for agent productivity
- ✦AI Insights & Reporting for performance optimization
- ✦Workflow automation with a visual builder
- ✦AI-powered documentation enhancements
- ✦Codebase syncing and web editor
- ✦API playground
- ✦Visitor authentication
- ✦Automatic translations
- ✦Integrations with popular tools
- ✦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)
- ✦Online Browser Testing
- ✦Selenium Testing
- ✦Test Manager
- ✦Playwright Testing
- ✦HyperExecute
- ✦Accessibility Testing
- ✦Real Devices Cloud
- ✦Visual Regression Cloud
- ✦Test Intelligence
- ✦Automation Testing Cloud
Use cases
- →Providing instant customer service with Fin AI Agent
- →Managing customer inquiries across multiple channels
- →Automating support workflows to improve efficiency
- →Empowering support agents with AI-powered tools
- →Gaining insights into customer service performance
- →Creating public-facing documentation for APIs and SDKs
- →Building internal knowledge bases for teams
- →Generating documentation that converts users
- →Streamlining documentation workflows for developers and non-developers
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →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.
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