Free Bloomberg Terminal for AI Agents

Created By

OSOJDJD4 days ago

Researches any company in ~10 seconds using 10 data sources. Returns structured reports with bull/bear verdict for stocks, crypto, and private companies.

# finance

# research

Overview Content Tools Comments

Overview

🔍 DeepLook

Free Bloomberg Terminal for AI Agents — open-source MCP server that researches any company in under a minute.

LLMs hallucinate financial data. Other finance MCP servers return raw data from a single source — you still do the research yourself. DeepLook runs the full workflow: 10 sources in parallel, cross-referenced, with a structured bull/bear verdict. One call, in under a minute, no API keys needed.

DeepLook NVIDIA Report
Ask "research NVIDIA" → get this in under a minute

⚡ Getting Started

Hosted (30 seconds)

Claude.ai → Settings → Connectors → Add MCP Server
Paste: https://mcp.deeplook.dev/mcp
Try: "Use DeepLook to research NVIDIA"

Works with Claude Desktop, Cursor, Windsurf, or any MCP-compatible client.

Self-Host

1. Clone and install:

git clone https://github.com/OSOJDJD/deeplook.git
cd deeplook
python3 -m venv venv && source venv/bin/activate
pip install -e .
cp .env.example .env   # add at least one LLM key

2. Run as HTTP MCP server:

python -m deeplook.mcp_server --http --port 8819

3. Or add to Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "deeplook": {
      "command": "/full/path/to/deeplook/venv/bin/python",
      "args": ["-m", "deeplook.mcp_server"],
      "cwd": "/full/path/to/deeplook",
      "env": { "ANTHROPIC_API_KEY": "sk-ant-..." }
    }
  }
}

CLI (no MCP):

python -m deeplook "NVIDIA"
python -m deeplook "Aave"
python -m deeplook "Anthropic"

What You Get

NVIDIA Corporation — $181.93 | EXPANDING / ACCELERATING
Key Signals:

🟢 Jensen Huang projects $1T AI chip revenue by 2027
🟢 Vera Rubin platform with 7 new chips in production
🔴 Earnings surprise: -55.03%

Verdict: Mega-cap AI leader with 73% revenue growth, $1T opportunity

🟢 Revenue +73.2% YoY, earnings +95.6%, $58.1B FCF
🔴 RSI 37.2 oversold, $4.42T valuation limits upside
⏳ Wait for: Q1 FY2027 earnings on 2026-05-20

Embedded structured JSON with precise metrics, peer comparison, technicals → AI clients auto-render as interactive dashboards

Features

10+ data sources in parallel (yfinance, news, CoinGecko, DeFiLlama, SEC EDGAR, Wikipedia, YouTube, etc.)
Works for public stocks, crypto, and private companies
Dual output: human-readable summary + structured JSON for AI agents
Bull/bear verdict with catalyst timeline
Peer comparison with financial metrics
Lookup in seconds · full research in under a minute
Two tools: deeplook_research (full report) and deeplook_lookup (quick snapshot)

Supported Entity Types

Public Equity · Crypto/DeFi · Private Companies · Exchanges · VCs · Foundations

API Keys

Pick at least one LLM provider:

Variable	Provider
`ANTHROPIC_API_KEY`	Claude — Haiku + Sonnet (recommended)
`OPENAI_API_KEY`	GPT-4o-mini
`GEMINI_API_KEY`	Gemini 2.0 Flash Lite
`DEEPSEEK_API_KEY`	DeepSeek Chat

Optional (for deeper research):

Variable	Description
`TAVILY_API_KEY`	Search fallback when DDG is rate-limited
`COINGECKO_API_KEY`	CoinGecko Pro for crypto data
`ROOTDATA_SKILL_KEY`	RootData for crypto project data

Cost per report: ~$0.02–0.05 (Anthropic) · ~$0.01–0.03 (OpenAI) · ~$0.01–0.02 (Gemini) · ~$0.005–0.01 (DeepSeek)

Data Sources

Source	Used For
yFinance	Price, financials, analyst targets, technicals
DuckDuckGo News	Recent signals, headlines
Wikipedia	Company background
YouTube	Earnings calls, CEO interviews
CoinGecko	Token price, market cap, volume
RootData	Crypto funding, team data
DefiLlama	TVL, chain metrics
SEC EDGAR	10-K, 10-Q, 8-K filings
Finnhub	Earnings, news, sentiment
Website	Investor relations, product pages

How It Works

Company Name
    ↓
Entity Type Router  (public equity / crypto / private / exchange / VC / foundation)
    ↓
10 Parallel Fetchers  (DDG News, yFinance, CoinGecko, SEC EDGAR, ...)
    ↓
3-Call LLM Pipeline:  Extract (Haiku)  →  Judge (Sonnet)  →  Act (Sonnet)
    ↓
Structured Report + Embedded JSON