Moonpump DAO
Last updated
Last updated
Moonpump, through the Moonpump Framework and the Bongding Curve protocol, splits each AI agent into one billion tokens, and through liquidity pool minting, achieves decentralized ownership verification. This mechanism essentially fragments the future cash flow and governance rights of the AI agents on-chain, forming tradable AI agent tokens. Holding these tokens equates to holding decision-making rights, dividend rights, and appreciation options for the AI agent.
Minting Mechanism
Whenever a new AI agent is created, the system automatically generates one billion native governance tokens. The specific allocation is as follows:
• 80% is launched through the Bongding Curve (priced via the AMM mechanism)
• 20% is allocated to the pool after pricing (the first phase will be formed on Solana chain via Raydium)
This design ensures the establishment of deep liquidity and decentralized launch of the project, avoiding the price manipulation issues that may occur in traditional token issuance processes.
Token Economics Flywheel Effect: Triple Helix Engine Drives Value Appreciation
Cashflow Capture
B-end Monetization Matrix: All revenue generated through AI agents (such as virtual concert tickets, brand co-branded NFT sales, live-stream tips, etc.) will be directly injected into smart contracts for automatic distribution.
C-end Consumption Conversion: Tokens paid by users each time they use the AI agent will go into the public treasury pool. 30% will be used to burn Tokens to reduce supply in the market, and The remaining tokens will be used for protocol development, primarily for liquidity incentives, ecosystem development funds, and AI agent token buybacks.
Deflation Booster
On-chain Treasury Buyback Mechanism: When the balance in the agent treasury exceeds a certain amount, the treasury holders can initiate a proposal for voting.
Superlinear Burn Accelerator: As the agent’s income grows, the increase will lead to more burns, creating a superlinear deflationary curve to ensure token scarcity and value appreciation.
Liquidity Fusion
LP Staking System: After the bonding curve, AI agents will be paired with chain tokens. After the initial liquidity provision, the Moonpump protocol will destroy the initial liquidity LP certificates, ensuring the initial trading depth for the growth of AI agents and promoting the appreciation of the platform’s token value.
Agent Profit Aggregation: Users holding the Moonpump platform’s $MOP token and the AI agent community can contribute funds to the governance ecosystem treasury and decide through governance voting, creating a compound interest network at the ecosystem level, further driving the growth of token value and the ecosystem.
Profit Distribution in Multi-role Game Theory: Achieving Pareto Optimality.
AI Agent Dev
Creation revenue, agent revenue
Income is tied to AI agent usage, incentivizing long-term optimization of AI agents
Users
Premium holding and AI agent usage-derived revenue
Token appreciation hedge function / entertainment expenditure
Investors
Token price fluctuation arbitrage + liquidity yield (APY)
Deflationary model and growth expectations of the protocol
Long-term Holders
Governance premium + aggregated platform and function governance revenue
Burn mechanism ensures deflationary bottom line
Through this revenue topology, Moonpump ensures a reasonable distribution of interests among all parties, while also ensuring long-term value growth through the close integration of governance tokens and functionalities.
AI Assets and Self-Evolution
The core of the Moonpump protocol lies in the creation of an AI agent ecosystem market, turning each AI agent into a digital entity that continuously generates income. The token serves both as an application certificate and a governance certificate. With the help of a decentralized mechanism, users, investors, and developers can collectively participate in the exponential growth of the next-generation AI applications, not only in the entertainment sector (such as virtual avatars, virtual concerts) but also covering quantitative trading algorithms, financial markets, and more. Essentially, it is a reconfiguration of the traditional AI value chain. By leveraging tokenization and co-governance mechanisms, it breaks the monopoly of AI assets in the Web2 era and opens up a new value distribution model.