DataAgent

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DataAgent is an AI agent tool that provides enterprise-level intelligent data analysis. It performs Python-based deep analysis and generates multi-dimensional chart reports, going beyond traditional Text-to-SQL tools.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is DataAgent?

DataAgent is an enterprise-level intelligent data analysis agent built on Spring AI Alibaba Graph. It offers advanced capabilities beyond typical Text-to-SQL tools, including Python-based deep analysis and the generation of multi-dimensional chart reports. The system features a highly scalable architecture, full compatibility with OpenAI interface specifications for dialogue and embedding models, and flexible integration with various vector databases. It supports both private deployments and mainstream large language models like Qwen and Deepseek. DataAgent also natively supports the Model Context Protocol (MCP), allowing seamless integration with MCP-enabled tools like Claude Desktop, and includes robust API Key management for granular permission control.

Best used for

Ideal for data scientists and developers who need to automate complex data analysis, generate multi-dimensional reports, and integrate various AI models. Especially valuable for enterprises requiring flexible, controllable data insights with support for private deployment and advanced security features.

Common actions

analyze data

generate reports

automate data tasks

integrate AI models

manage API keys

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Capabilities

Key features

Text-to-SQL conversion
Python deep analysis
Intelligent report generation
Human-in-the-loop feedback
RAG retrieval enhancement
Multi-model scheduling
MCP server

Target Audience

data scientistdeveloper

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of data analysis can DataAgent perform?

DataAgent goes beyond traditional Text-to-SQL by performing Python-based deep analysis, including statistical analysis and machine learning predictions. It can also generate multi-dimensional chart reports from the analysis results.

Is DataAgent compatible with different large language models?

Yes, DataAgent is designed with a highly scalable architecture that is fully compatible with OpenAI interface specifications. This allows it to flexibly integrate with various dialogue and embedding models, including Qwen and Deepseek.

Does DataAgent support integration with other tools?

DataAgent natively supports the Model Context Protocol (MCP), enabling it to act as an MCP server. This allows for seamless integration with other MCP-enabled tools, such as Claude Desktop, for NL2SQL and intelligent agent management capabilities.

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AI Frameworks & Infra Chatbots & Conversational AI General-Purpose Agents Personal Assistants RAG & Document AI Voice Agents

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This tool also appears in

Data & Analytics › Business Intelligence Data & Analytics › Data Visualization Data & Analytics › SQL & Querying

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