# RPG response example

In the event of a suspected rug pull, the RPG bot will automatically prepare a response transaction tailored to the situation to minimize potential losses.

<div><figure><img src="/files/PloRHzqgWEkaZnuMP1Wk" alt="" width="563"><figcaption><p>Trigger transaction</p></figcaption></figure> <figure><img src="/files/vsx6FaU3cQ7rDiTybX7K" alt="" width="346"><figcaption><p>Bot response </p></figcaption></figure></div>

<figure><img src="/files/AxG7uTDks1Eoq0mxi82s" alt=""><figcaption><p><a href="https://bscscan.com/tx/0x6e5b41651aac6e17bdfbd24f3e44df898d8d007103ff54555d32c14d5ad45893">https://bscscan.com/tx/0x6e5b41651aac6e17bdfbd24f3e44df898d8d007103ff54555d32c14d5ad45893</a></p></figcaption></figure>

* This involves executing a sale of the at-risk assets using advanced, situation-appropriate technology.

<div><figure><img src="/files/AMUqZaa7y4eWhFvjbS0Y" alt="" width="563"><figcaption><p>Action transaction</p></figcaption></figure> <figure><img src="/files/P1aUxMaPvP1OGl7EagfL" alt="" width="346"><figcaption><p>Bot response </p></figcaption></figure></div>

<figure><img src="/files/Z3wNUvqN1QTRRadoCoJF" alt=""><figcaption><p><a href="https://bscscan.com/tx/0x3813194c127bfeb7671612a932fac42fcbf76ccfd1261842a747f15d2e6cf560">https://bscscan.com/tx/0x3813194c127bfeb7671612a932fac42fcbf76ccfd1261842a747f15d2e6cf560</a></p></figcaption></figure>

**Private Transaction Execution:**

* To counteract the delays and risks of interception by malicious parties, the bot can employ the private transaction mining.
* This ensures that your protective transaction is prioritized and included in the blockchain swiftly, safeguarding your assets from the full impact of the rug pull or whale sale pressure.

**Additional Tips:**

* Always double-check all addresses and transaction details for accuracy.
* Regularly review and update your monitoring settings to align with the current market conditions and your investment strategy.
* Familiarize yourself with the RPG bot's features and settings.


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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
