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1. Create your account

Head to arrays.org and sign up with email, Google, or GitHub.

2. Copy your API key

In the dashboard, your key is shown immediately — no email verification required to start.
Treat your API key like a password. Never commit it to git. Use a .env file or your platform’s secret manager.

3. Make your first call

curl "https://data-tools.prd.arrays.org/api/v1/stocks/company/detail?symbol=AAPL" \
  -H "X-API-Key: $ARRAYS_API_KEY"
You should see a JSON envelope:
{
  "success": true,
  "data": [
    {
      "symbol": "AAPL",
      "name": "Apple Inc.",
      "sector": "Technology",
      "industry": "Consumer Electronics",
      "exchange": "NASDAQ",
      "market_cap": 4629454611200,
      "pe_ratio": 37.77,
      "eps": 8.27
    }
  ],
  "request_id": "ee12ed44-81a0-4496-958c-d87a1b4048ac"
}
Every Arrays endpoint returns this envelope. data is always an array.

4. Try it from your AI agent

Skip the code entirely — give your agent the Arrays Skills and let it handle the calls.

Claude Code

Install in 30 seconds

Cursor / Windsurf

Add as project rules

OpenAI Codex

Include as context

More agents

Any markdown-aware agent

5. Build something real

Pick a real-world task and ship it:
  • “Compare PE and ROE of NVDA vs AMD over the last 4 quarters” — uses equity-fundamentals
  • “Show me top 10 crypto by 7-day funding rate” — uses crypto-futures-data
  • “List S&P 500 names that beat estimates this earnings season” — uses equity-events + stock-screener
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