Getting Started
What Data Agent is, first sign-in, the interface, your first script.
Chat with the Agent
Tasks in plain language, models and skills, the prompts queue, Git.
Scripts
The scripts folder: structure, pages, search, live updates.
Runs
The Run button, live output, history and logs.
Scheduler
The schedule as one file: intervals, exact times, hot reload.
Lakehouse
The data store: project → source, Parquet, SQLite, README, logs.
Data Sources
Automatic discovery, overrides, queries over your data.
Harvesters
Bulk data collection: search, page download and text processing by models.
Data for Analytics Agent
Visualizing collected data in Analytics Agent: reading databases, extending reports through the API.
Agent Analytics
Tokens, cost and load: an overview of how the agent works.
Xedant Agent Integration
Chat through the central agent and its data-management API.
Installation
Docker Compose, mounts, first sign-in, environment variables.