Features
Pre-built AI models for business analytics
No-code deployment and configuration
Real-time data integration from multiple sources
Automated insight generation and reporting
Customizable skill parameters post-purchase
Preview skill outputs before buying
Scheduled email or dashboard push of insights
Library of skills covering sales, marketing, operations
Built-in data transformation and cleaning pipelines
Versioned skills with update notifications
Skill usage analytics within Databox
Multi-skill workflows for complex analysis
Audit log of skill execution history
Collaborative sharing across team Databox accounts
Secure data handling with role-based access
Notebook Agent: AI code generation and debugging in notebooks
Threads: conversational self-serve in Slack, Claude, Cursor, Codex, Figma
Agent Tasks: scheduled recurring AI analyses to Slack/email
Generative Data Apps: build dashboards from a single prompt
Selectable AI model (e.g., Fable 5)
MCP client: connect Hex to MCP servers
Hex CLI: publish findings from Cursor or Claude Code
Context Studio: curate semantic models, DB metadata, repos
Repository context: connect repos as agent context
Signed embedding for generative apps
Multiplayer notebook with Python, SQL, no-code
Transparency: inspect agent reasoning in notebook
Governance: semantic models and AI guides
Figma connector for pulling data into Figma
