# RugCheck CLI Example

The **RugCheck CLI Tool** is a command-line interface (CLI) application that allows users to fetch and display RugCheck reports for Solana tokens by entering their Contract Address (CA). The tool uses Agentipy's `RugCheckManager` (which wraps the RugCheck API) to provide detailed information about a token's risks, score, and LP lockers.

## Features

* **Fetch RugCheck Reports**:
  * Get a summary report for a token, including its risk score, identified risks, and creator tokens.
* **Fetch LP Lockers**:
  * Retrieve information about the token's LP (Liquidity Pool) lockers and total locked value.
* **User-Friendly Output**:
  * Display results in an easy-to-read format.
* **Error Handling**:
  * Provide clear error messages for invalid inputs or API issues.

## Code (`rugcheck_cli.py`)

```python
import asyncio
from agentipy.tools.rugcheck import RugCheckManager

async def main():
    api_key = "YOUR_API_KEY"  # Replace with your actual RugCheck API key
    rugcheck = RugCheckManager(api_key)

    print("Enter the Contract Address (CA) of the token.")
    print("Example CA: So11111111111111111111111111111111111111112 (Wrapped SOL)")
    user_input = input("Your input: ").strip()

    try:
        print("\nFetching RugCheck report...\n")

        report = await rugcheck.fetch_token_report_summary(user_input)
        print(report.to_user_friendly_string())

        lockers = await rugcheck.fetch_token_lp_lockers(user_input)
        print("\n" + lockers.to_user_friendly_string())

    except Exception as e:
        print(f"\nError: {e}")
        print("Please ensure you entered a valid Contract Address (CA).")
        print("Example CA: So11111111111111111111111111111111111111112 (Wrapped SOL)")

if __name__ == "__main__":
    asyncio.run(main())
```

**Note:** You need to replace `"YOUR_API_KEY"` in the script with your actual RugCheck API key for the example to work. Some RugCheck endpoints might work without an API key but could be rate-limited or offer less data.

## Source Files

You can find the source files for this example (including its original `readme.md` with setup and usage instructions) on GitHub: <https://github.com/niceberginc/agentipy/blob/main/examples/rugCheck/>


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