# Token Utility

#### 1. Deployment and Operation of AI Agents

* **Agent Registration**: Users must pay a fee in $ORI tokens to register new AI agents on the platform.
* **Agent Upgrades**: Additional functionalities or enhancements for AI agents can be unlocked with $ORI tokens.

#### 2. Tokenization of AI Agents

* **Agent Token Launch**: Users can create and launch bespoke tokens for their AI agents, requiring $ORI tokens for the initial setup and subsequent management.

#### 3. Access to Premium Features

* **Generator Hub Access**: Advanced features and tools within the Generator Hub may require payment in $ORI tokens.
* **Exclusive Modules**: Access to special modules or capabilities that are token-gated to incentivize engagement and reward users.

#### 4. Staking and Incentives

* **Staking**: Users can stake $ORI tokens to participate in governance, secure the network, or earn staking rewards.
* **Incentive Programs**: Reward programs for active participation or contributions to the ecosystem are facilitated through $ORI tokens.

#### 5. Transaction Fees and Governance

* **Transaction Fees**: All transactions on the platform, including those related to AI agent operations and token transfers, may incur fees paid in $ORI tokens.
* **Governance**: Token holders can use $ORI to vote on key platform decisions, influencing the development and policies of Origent AI.

#### 6. Marketplace Activities

* **Buying and Selling AI Agents**: The marketplace for trading AI agents uses $ORI tokens as the primary currency.
* **Licensing and Royalties**: Licensing fees for using AI agents or receiving royalties from the usage of deployed agents can be transacted in $ORI tokens.


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# 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://docs.origent.ai/origent-ai-token/token-utility.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.
