> For the complete documentation index, see [llms.txt](https://lava-ai.gitbook.io/intelligent-agentic-ecosystem/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lava-ai.gitbook.io/intelligent-agentic-ecosystem/user-tools.md).

# User Tools

## Real-Time Whale Tracking:

*Instant Buy/Sell Alerts:*

* Detects when tagged whale wallets enter or exit positions.
* Shows amount in SOL/ETH, % of wallet holdings affected, and remaining balance.

*Early Entry Detection:*

* Alerts when whales buy tokens under a set market cap (e.g., under $15K MC on Solana).

*⁠Partial Exit Signals:*

* Tracks if whales are gradually selling vs. dumping.

## Social Sentiment Alerts:

*Trend Spike Detection:*

* Real-time tracking of keywords, hashtags, and project names.
* Detects unusual surges in chatter that align with price movement.

*FOMO/FUD Classifier:*

* Uses LAVA AI’s sentiment model to classify the tone of hype.

*⁠Influencer Watch:*

* Flags projects mentioned by tracked KOLs (Key Opinion Leaders).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

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

```
GET https://lava-ai.gitbook.io/intelligent-agentic-ecosystem/user-tools.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.