Permission Management
Manage access control and permissions
Release v3 is currently in beta. This documentation reflects the features and functionality in progress and may change before the final release.
The data platform allows you to control how your AI dashboards and dataframes are shared and accessed. You can choose between four levels of access:
- Private: for your own use
- Public: for sharing with the community
- Password-protected: for controlled sharing
- Organization: for team collaboration
Each access level determines who can view and interact with your dataframes, and who consumes query quota when asking questions to the AI agent.
Private Dataframes
Private dataframes are accessible only by their owner. When asking questions to the agent, the owner consumes their own query quota.
Public Dataframes
Public dataframes are accessible by anyone with a PandaAI account. They are indexed on the web for discovery. When users ask questions, they consume their own query quota.
Password-Protected Dataframes
Password-protected dataframes are accessible only by users with the correct password. When users ask questions, the dataframe owner consumes their query quota.
Organization Dataframes
Organization dataframes are accessible by team members based on their permissions. Members can have read-only or write access. Permissions are handled in-platform by the organization owner and admins.
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