DMT Litepaper

Litepaper

We’re creating a drag and drop framework for creating multi-agent systems aimed at on-chain trading. These systems can manage tasks like gathering market data, analyzing blockchain activity, and even suggesting trades. By focusing on on-chain trading, we want to reduce the time and effort needed for due dilligence by sifting through transaction data for each token you encounter during trench warfare.

Users can engage with a variety of prebuilt multi-agent systems and hold personalized chats with them. Each agent comes with specialized skills through defined functions, making it easy for users to ask questions, request specific tasks, and receive real-time guidance. This interactive approach brings advanced trading tools into a simple, user-friendly environment.

Our prebuilt agents were designed to run defined functions and excel at working with curated blockchain data. By piecing together different specialized agents into a multi-agent system, we achieve higher output accuracy. This design allows you to reliably interpret, analyze, and act on market signals.

During system creation, users can select from a list of agents with each having executable functions that were specifically designed for them. The framework visualizes the flow of data through the system in real time. We took the liberty of creating an example multi-agent system which works on Solana (see example workflow below).

Example workflow

User Input 3 minutes ago

is $MIRA a good buy at 60 mil mcap? what do you think, will i get farmed?

DataRetrievalAgent 2 minutes ago

Detected token in prompt: $MIRA.
No CA detected, fetching CA.
CA Found: RufNMBEbKJr6CM1t3nwakZ3BaE9csF2AR15s32VWcRE.
Fetching token data.
Largest holders in % pct:
{
"DZ7...qA9": 13.9,
"C4w...Euw": 8.12,
"J9H...QeB": 7.53,
...
}
Checking previous activity of 10 largest holders...

BlockDataAnalyzer 2 minutes ago

10 largest holders of $MIRA hold almost 50% of the supply. Proceed with caution.
Holders 3 and 7 and 10 have similar transaction history and transacted mutually.

TwitterRetrievalAgent 1 minute ago

Retrieving tweets about $MIRA.
User @blader tweeted: "Just bought $MIRA, hope it moons!"
Analyzing general sentiment of tweets...

Tokenomics

1. The DMT Token

DMT is the native utility token of the platform. Its core purpose is to power interactions with multi-agent systems (MAS) and to align incentives between users, system designers, and the broader community of token holders. By staking DMT, participants gain sDMT, a governance and utility token that holds various rights within the ecosystem.

2. Staking and sDMT

Staking DMT:
Users lock (stake) their DMT tokens in a staking contract to participate more deeply in the platform’s governance and earn additional rewards. In exchange, stakers receive sDMT, which grants them voting rights and other privileges within the ecosystem.

sDMT Utility:
Governance Votes: Holders of sDMT can propose and vote on changes to the platform—such as which new multi-agent systems should be deployed or updated parameters for existing systems.

System Design: sDMT holders gain access to a drag-and-drop framework that allows them to combine various agent functions to prototype and propose new multi-agent solutions.

By design, sDMT aligns stakeholder incentives with the growth and quality of the platform’s multi-agent systems: those who stake are vested in making proposals that positively impact the ecosystem.

3. Governance Mechanics

Proposal Creation:
Any sDMT holder can propose a new multi-agent system using the drag-and-drop interface, where they select from a library of agent modules and define how these agents interact. Proposals detail the system’s use case, architecture, and the fees users must pay to interact with the system.

Voting:
All sDMT holders can vote on whether to deploy new systems. Votes are weighted by the amount of sDMT held, incentivizing larger stakeholders to support proposals that benefit the ecosystem in the long term.

Deployment:
If a proposal meets the required approval threshold, it is deployed. Post-deployment, the system’s usage fees (paid in DMT) begin generating revenue for the designer(s) and for the broader community of stakers.

4. Payment and Fee Structure

Interaction Fees:
When users engage with any deployed multi-agent system (e.g., requesting tasks or obtaining outputs), they pay a small, fixed amount of DMT as a usage fee. This fee model is designed to be predictable and accessible, encouraging more users to explore and utilize different agents.

Revenue Split:
A portion of each fee is allocated to the creator/designer of the multi-agent system as a reward for building and maintaining the service. The remaining portion is redistributed to all sDMT holders, providing an ongoing incentive for community members to stake their tokens and align with the platform’s success.

5. Rewards and Incentives

Earning Potential:
System Designers: Receive direct payments whenever their deployed multi-agent system is used. This incentivizes continuous development of new and improved multi-agent solutions that attract users and, in turn, generate more DMT-based fees.

sDMT Stakers: Receive a share of the fees from all systems running on the platform, increasing the appeal of staking DMT and participating in governance.

Ecosystem Growth:
As more multi-agent systems are proposed, approved, and utilized, the volume of DMT fees circulating in the ecosystem increases. The resulting revenue strengthens both the reward pool for stakers and designers, spurring further innovation.

Long-Term Sustainability:
A well-balanced distribution ensures that revenue is continually fed back to the active contributors and governance participants, aligning everyone’s incentives to improve and expand the platform.