Load and analyze data files from local paths or URLs in formats like CSV, JSON, Excel, and Parquet to extract DataFrame information and metadata for data understanding.
Create histogram visualizations from SQL query results on CSV, Parquet, or database sources. Generate distribution plots for data analysis and business intelligence.
Execute SQL queries on CSV or Parquet sources using DuckDB syntax via the Zaturn MCP server, returning results as a dataframe for analysis and visualization.
Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.
Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.
Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.