GPT Researcher - Autonomous Deep Research

This skill enables autonomous deep research that explores and validates numerous sources, generating comprehensive reports with citations.

Problem Solved

Standard web search tools:

• Return raw results requiring manual filtering
• Often contain irrelevant sources
• Waste context window space
• Require manual source validation

GPT Researcher:

• Autonomously explores hundreds of sources
• Validates and filters for relevance
• Generates structured reports with citations
• Focuses on trusted, up-to-date information

When to Use

• Comprehensive research on any topic
• Market analysis and competitive research
• Technical deep dives
• Literature reviews
• Fact-checking and source validation
• Generating research reports

Available Tools

1. deep_research

Performs thorough, comprehensive research on a topic.

Input: "AIエージェントフレームワークの2026年トレンド"
Output: 詳細な調査レポート（複数ソース、引用付き）

2. quick_search

Fast web search optimized for speed over comprehensiveness.

Input: "Next.js 15 release date"
Output: 簡潔な検索結果

3. write_report

Generates a structured report from research results.

4. get_research_sources

Retrieves the list of sources used in research.

5. get_research_context

Accesses the full context of completed research.

Example Usage

Comprehensive Research

User: AIコーディングエージェントの最新動向を調査して

AI: [Calls deep_research]
    [Explores 50+ sources]
    [Validates and filters relevant information]
    [Generates report with citations]

Output:
# AIコーディングエージェント 2026年動向レポート

## エグゼクティブサマリー
...

## 主要プレイヤー分析
1. Claude Code [Source: Anthropic Blog]
2. Cursor [Source: TechCrunch]
3. Windsurf [Source: Verge]
...

## 引用
[1] https://...
[2] https://...

Quick Fact Check

User: LangGraphの最新バージョンは？

AI: [Calls quick_search]
    [Returns fast result]

Market Research

User: 予測市場プラットフォームの競合分析をして

AI: [Calls deep_research with market analysis focus]
    [Analyzes competitors]
    [Compares features, pricing, market share]
    [Generates competitive analysis report]

Required Environment Variables

GPT Researcher requires these API keys:

OPENAI_API_KEY

TAVILY_API_KEY

Setup

1. Set environment variables in your shell:

   export OPENAI_API_KEY="your-key"
   export TAVILY_API_KEY="your-key"
   

2. Or add to

   .env

   file in project root

Research Quality

GPT Researcher outperforms other research tools:

Based on Carnegie Mellon University's DeepResearchGym benchmark (May 2025)

Best Practices

1. Be specific with research queries

   ❌ "AIについて調べて"
   ✅ "2026年のAIエージェントフレームワーク市場規模と主要プレイヤー"
   

2. Use for substantial research tasks

   • Simple facts → Context7 or quick_search
   • Deep investigation → deep_research

3. Request specific output formats

   「競合分析レポートを表形式で作成して」
   「SWOT分析を含めて」
   

4. Combine with other tools

   • Context7 for documentation
   • GPT Researcher for market/trend analysis

Integration with TAISUN

GPT Researcher is automatically available via MCP. The system will:

1. Detect research-related queries
2. Select appropriate tool (deep_research or quick_search)
3. Validate and synthesize sources
4. Return comprehensive, cited results

Source

• GPT Researcher GitHub
• GPTR MCP Server
• Documentation