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ai-data-analyst-agent

Free

Production-minded AI data analyst using Streamlit, Amazon Bedrock, DuckDB, and secure SQL validation.

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Overview

The AI Data Analyst Agent is an AI-powered data analysis application that allows users to upload CSV datasets and ask analytical questions using natural language. The application converts natural-language questions into DuckDB-compatible SQL using Groq, validates the generated SQL through an independent security layer, executes the validated query with DuckDB, and presents the results with tables, visualizations, and AI-generated explanations. The application follows a controlled pipeline that separates data processing, AI reasoning, security validation, SQL execution, and result presentation. Generated SQL is treated as untrusted input. Before execution, every generated query passes through a dedicated SQL security validation layer. The security layer uses SQLGlot to parse SQL into an Abstract Syntax Tree (AST) and validates the query against the application's safety rules. The validator checks SQL statement type, table references, function usage, multiple SQL statements, dangerous SQL operations, query result limits, read-only execution, type conversions, allowed SQL functions, and unqualified dataset table references only. Unsafe SQL is rejected before reaching DuckDB. This creates a security boundary between the LLM and the database. DuckDB is also configured as a second line of defense: external file/network access and temporary-disk spilling are disabled, while memory, thread, result-size, and query-time limits constrain execution resources. The application is designed specifically for read-only analytical workloads.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Teams use the AI Data Analyst Agent to ask questions about an uploaded dataset using plain English instead of writing SQL manually.
  • Teams use the AI Data Analyst Agent to ask follow-up questions within a session, such as refining a previous query.
  • Teams use the AI Data Analyst Agent to generate SQL for record counting, ranking with aggregation, monetary filtering, and grouping and counting.
  • Teams use the AI Data Analyst Agent to handle numeric values stored as text, including currency-formatted values and percentages.

Features

AI assistant

Natural language interface

Workflow automation

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