DeepLook
AI 기업 리서치 에이전트 — 10개 데이터 소스, 약 10초 내에 강세/약세 평가가 포함된 구조화된 보고서. 주식, 암호화폐 및 비상장 기업.
문서
DeepLook
LLMs hallucinate financial data. DeepLook gives them real numbers instead.
What happens when you ask "Research NVIDIA"
DeepLook provides structured context — real-time data from 8+ APIs combined with analytical instructions that makes better output. The result:
- Accurate, up-to-date information — not hallucinated numbers
- Clear at a glance — financials, peers, technicals, news in one view
- Better AI output — because good context drives good analysis
Works for financial research, business due diligence, or any use case where you need to understand a company fast.
Under the hood
- 10+ sources, one call — queries fan out in parallel across market data, filings, news, and more
- Rules before reasoning — data is verified before the LLM ever sees it, which is what keeps hallucination down
- Eval-tested prompts — changes get scored before they ship, not just shipped on vibes
- Agent-ready — available as both an MCP server and a REST API
Get started
Claude.ai
- Go to Settings → Connectors → Add MCP
- Paste:
https://mcp.deeplook.dev/mcp - Start a new chat and ask: "Research NVIDIA"
Other MCP clients (Cursor, VS Code, Windsurf, Claude Desktop)
{
"mcpServers": {
"deeplook": {
"url": "https://mcp.deeplook.dev/mcp"
}
}
}
Claude Code
claude mcp add --transport http deeplook https://mcp.deeplook.dev/mcp
Self-host
git clone https://github.com/OSOJDJD/deeplook.git
cd deeplook
pip install -r requirements.txt
python -m deeplook.mcp_server
What it covers
| Type | Examples |
|---|---|
| Public stocks | NVIDIA, Apple, Tesla, TSMC |
| Crypto | Bitcoin, Solana, Ethereum |
| Private companies | Anthropic, Stripe, OpenAI |
| VC firms | a16z, Sequoia |
| Defunct | FTX, WeWork |
Eval
Tested across 58 companies, scored on accuracy, hallucination, and usefulness:
| Metric | Score |
|---|---|
| Overall | 3.78 / 5.0 |
| Risk detection | 4.36 / 5.0 |
| Signal quality | 3.94 / 5.0 |
| Actionability | 3.38 / 5.0 |
From an earlier pipeline version — re-run pending. Eval harness in /deeplook/eval.
Extend DeepLook
DeepLook covers the basics. If you need data it doesn't have yet — a new market, a new data source, a new analysis rule — you can add it. See CONTRIBUTING.md.
Roadmap
- More query tools — news, peers, financials, calendar as standalone lookups
- Broader client support — Cursor, ChatGPT, VS Code, Windsurf, Claude Code
- Deeper context — more analytical conditions, entity-specific instructions
- Community contributions — new data sources, custom analysis rules
License
Built by @OSOJDJD