> For the complete documentation index, see [llms.txt](https://ottodata.gitbook.io/ottodata-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ottodata.gitbook.io/ottodata-docs/getting-started/quickstart.md).

# Quickstart

## Quickstart

Everything below works with zero setup — no API key, no account.

Base URL: **`https://api.ottodata.app`**

### 1. Get the live basis snapshot

```bash
curl https://api.ottodata.app/v1/basis/snapshot
```

```json
{
  "count": 32,
  "ticks": [
    {
      "ts": 1784189981,
      "ticker": "AAPL",
      "chainlink_px": 328.24995,
      "ref_last": 327.5,
      "basis_bps": 22.9,
      "overnight_bps": 22.9,
      "oracle_paused": 0
    }
  ]
}
```

`basis_bps` of +22.9 means the on-chain AAPL token trades 0.229% above the NASDAQ reference right now.

### 2. Find the biggest overnight movers

```bash
curl "https://api.ottodata.app/v1/gaps/live"
```

During NASDAQ off-hours this returns every ticker ranked by how far the on-chain price has moved since the last close. When markets are open it returns `{"session": "regular"}`.

### 3. Watch whale transfers

```bash
curl "https://api.ottodata.app/v1/flows?min_usd=50000&hours=24"
```

Large stock-token and USDG transfers, with mints and burns flagged separately (mint/burn = tokenized stock supply changing).

### 4. Stream basis over WebSocket

```python
import websockets, asyncio, json

async def main():
    uri = "wss://api.ottodata.app/v1/stream/basis?tickers=NVDA,TSLA&interval=15"
    async with websockets.connect(uri) as ws:
        while True:
            print(json.loads(await ws.recv()))

asyncio.run(main())
```

### 5. Point your AI agent at the MCP server

Add to Cursor (`~/.cursor/mcp.json`) or any MCP client:

```json
{ "mcpServers": { "otto-data": { "url": "https://api.ottodata.app/mcp" } } }
```

Then ask: *"Which Hood token has the biggest overnight premium right now?"* — the agent calls the tools itself. See [MCP for AI agents](https://ottodata.gitbook.io/ottodata-docs/mcp-for-ai-agents/overview).

### Where to go next

* [Concepts → Basis](https://ottodata.gitbook.io/ottodata-docs/concepts/basis-on-chain-vs-nasdaq) — understand what the numbers mean
* [API reference → Overview](https://ottodata.gitbook.io/ottodata-docs/api-reference/overview) — every endpoint, with parameters
* Interactive Swagger UI: [api.ottodata.app/docs](https://api.ottodata.app/docs)


---

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