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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
Essential: $29
Advanced: $85
Expert: $132
Fin AI Agent: $0.99
Copilot: $29
Proactive Support Plus: $99
Starter: $0/mo (10,000 AI credits/month)
Free trial available
No public pricing
No public pricing
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
- ✦Help Desk
- ✦AI Chatbot
- ✦Proactive Support
- ✦Omnichannel Platform
- ✦Knowledge Base
- ✦Inbox
- ✦Tickets
- ✦AI Insights & Reporting
- ✦Workflows
- ✦Apps and Integrations
- ✦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)
- ✦Zero-ETL data integration
- ✦Federated Query
- ✦Streaming Ingestion
- ✦Instant Replication with CDC
- ✦API to SQL conversion
- ✦NoSQL to SQL conversion
- ✦SQL to API conversion
- ✦Self-service Integration
- ✦Generate SQL with AI
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
- →Deliver help content to customers
- →Divert repetitive questions with a bot
- →Set up a central place for customers to find answers
- →Create multilingual articles for global customers
- →Resolve issues before they arise using outbound messaging
- →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
- →Query data directly from its source in real-time.
- →Process data wherever it is, blending data from different sources.
- →Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
- →Replace nightly batch ingestion with real-time data access.
- →Treat every data source like a relational database by converting APIs to tables.
- →Use SQL to query NoSQL databases.
- →Query consolidated data and expose it with APIs.
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