> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Adanos Market Sentiment

> Research stock sentiment across Reddit, X, financial news, and Polymarket with AdanosTools.

`AdanosTools` gives an agent market sentiment functions for stocks and cryptocurrencies.

```python adanos_tools.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.adanos import AdanosTools

agent = Agent(
    name="Market Sentiment Research Agent",
    model=OpenAIResponses(id="gpt-5.5"),
    tools=[AdanosTools()],
    instructions=[
        "Compare sentiment across available sources before drawing conclusions.",
        "Treat sentiment as research context, not as trading advice.",
    ],
    markdown=True,
)

if __name__ == "__main__":
    agent.print_response(
        "Compare AAPL sentiment on Reddit, X, financial news, and Polymarket over the last seven UTC days."
    )
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your API keys">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="***"
      export ADANOS_API_KEY="***"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="***"
      $Env:ADANOS_API_KEY="***"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    ```bash theme={null}
    python adanos_tools.py
    ```
  </Step>
</Steps>

Full source: [cookbook/91\_tools/adanos\_tools.py](https://github.com/agno-agi/agno/blob/main/cookbook/91_tools/adanos_tools.py)