# HCG Token

HyperCognition is powered by the $HCG token, a utility and governance asset designed to incentivize, secure, and grow the DeFAI infrastructure. The total supply is fixed at **100,000,000,000 (100 billion)** tokens.

Network: Base Chain

#### 💰 **Public Sale Price**: **$0.0000024**

#### 💸 **Fully Diluted Valuation (FDV)**: **$240,000**

#### 🚀 **Initial Market Cap (excluding liquidity)**: **$28,800**

The **initial market cap** is based on tokens unlocked at TGE across all fundraising rounds (excluding liquidity) multiplied by their respective prices.

***

## Token Metrics

<figure><img src="/files/G57d7N2UA5s23X8WsptE" alt=""><figcaption></figcaption></figure>

***

<figure><img src="/files/gsRdzdJ77xt7l7OJVYRI" alt=""><figcaption></figcaption></figure>

## Key Utilities of $HCG

* **Agent Execution Fees:** Payment layer for AI strategy calls
* **Transaction Tax Fees:** 5% buy tax & 5% sell tax for every transaction
* **Agent Marketplace:** Rent, deploy, or monetize agent strategies
* **Staking & Delegation:** Stake $HCG to access premium agents or delegate to top performers
* **Governance:** Protocol upgrades, budget proposals, treasury votes
* **Model & Data Incentives:** Reward model contributors and data trainers with $HCG
* **Dynamic Incentives:** Long-term emission curve focused on sustainable yield

***

## Governance

The protocol will adopt **progressive decentralization**, gradually increasing on-chain governance power among token holders. Over time, community members will fully steer protocol development, upgrades, funding proposals, and reward allocations.


---

# 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://whitepaper.hypercognition.io/hypercognition/tokenomics/hcg-token.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.
