# Tokenomics

### Token Utility

* Access to unlimited test tokens on the BotChain testnet (24h refresh limit)
* Unlock premium features in the BotChain dashboard and SDKs
* Incentives for developers who build robotic and blockchain Dapps
* Rewards for community participation and ecosystem contributions

***

### Token Supply

* **Total Supply:** 10,000,000 $BCN
* **Ticker:** $BCN
* **Network:** Ethereum Mainnet
* **Minting:** Fixed, no further issuance

***

### Token Allocation

* **95%** Initial Supply → Liquidity Pool (Fair Launch)
* **5%** Reserve → Marketing, Listings, and Development (vested)

***

### Trading Taxes

A **5% buy tax** and **5% sell tax** apply to all transactions. These funds are allocated to:

* Development and Operations
* Marketing and Ecosystem Growth
* Team and Sustainability

***

### BotChain Blockchain Tokens

In addition to $BCN on Ethereum, the BotChain blockchain itself will feature its own native tokens. These tokens are **to be announced (TBA)** and will operate with the following characteristics:

* **Mintable with no hard cap**, designed for testnet functionality rather than financial speculation
* Primarily used as **test tokens** for recording events, issuing commands, and interacting with smart contracts on the BotChain blockchain
* Hold **no real monetary value**, but serve as technical credits that allow experimentation and system operation
* In the future, as testnet activity grows, these tokens may become scarcer and could hold value as **Ecosystem access tokens**, representing resource limits or usage rights rather than currency.


---

# Agent Instructions: 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:

```
GET https://botchain.gitbook.io/botchain-docs/token-and-roadmap/tokenomics.md?ask=<question>
```

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.
