Company-Research-Agent

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company-research-agent is an AI research assistant for deep company diligence. It uses a multi-agent framework powered by LangGraph, Tavily, Gemini 2.5 Flash, and GPT-5.1.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is company-research-agent?

company-research-agent is an AI-powered research assistant designed to perform in-depth due diligence on companies. It operates using a sophisticated multi-agent framework, leveraging the capabilities of LangGraph and Tavily for its core operations. For AI inference, it integrates advanced models such as Google's Gemini 2.5 Flash and OpenAI's GPT-5.1. This tool is built to support comprehensive company analysis and is capable of processing information in multiple languages, making it versatile for various research needs.

Best used for

Conducting comprehensive and in-depth due diligence and research on companies using advanced AI models.

Common actions

Research companies

Perform due diligence

Analyze market data

Generate company reports

Gather business intelligence

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Capabilities

Key features

AI research assistant
Deep company diligence
Multi-agent framework
LangGraph and Tavily
Gemini 2.5 Flash, GPT-5.1
Multi-language support

Target Audience

Financial analystsBusiness researchersInvestorsMarket intelligence professionals

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

What are the primary AI models used by the company-research-agent, and can I choose between them?

The agent leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 for AI inference. While it uses both, the tool's current design likely orchestrates their use internally rather than offering direct user selection for each query.

How does the multi-agent framework enhance company research compared to a single AI model?

The multi-agent framework, powered by LangGraph, allows for more complex, iterative research processes. Different agents can specialize in tasks like data gathering, analysis, and synthesis, leading to more thorough and nuanced due diligence than a single model could achieve.

What kind of company information can I expect the agent to find and analyze?

The agent is designed for deep company diligence, meaning it can research financial data, market position, competitive landscape, news, and other public information. Its effectiveness depends on the availability and accessibility of public data sources.

Does the company-research-agent support research for companies in non-English speaking markets?

Yes, the tool explicitly offers multi-language support, making it versatile for researching companies operating in various international markets and processing information in different languages.

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AI Agents & Automation › Multi-Agent Systems AI Agents & Automation › General-Purpose Agents

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