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

# Key Terminology

### Liquidity

The ease with which a token can be bought or sold without causing significant price movement. Higher liquidity generally means more stable prices and easier trading.

### Burning Tokens

The process of permanently removing tokens from circulation by sending them to an inaccessible address. This reduces supply and potentially increases the value of remaining tokens.

### TOP Holdings

The largest token positions held by a wallet address, are often used to identify significant investors or "whales" in a particular project.

### Mint Renunciation

When a project's team gives up the ability to create new tokens, often done to build trust by ensuring no unexpected inflation of token supply.

### Liquidity Pool

A collection of funds locked in a smart contract that facilitates trading by providing liquidity for token swaps.

### Market Cap

The total value of all tokens in circulation is calculated by multiplying the current price by the circulating supply.

### Slippage

The difference between the expected price of a trade and the price at which the trade is executed often occurs in markets with low liquidity.


---

# 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://unicornx-ai.gitbook.io/unicornx.ai/key-terminology.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.
