tokenomics draft

tokenomics.md

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+# Home of Dumplings / \$DPL Tokenomics
+
+## 1. Overview
+
+The Home of Dumplings protocol deploys AI agents that solve optimization problems for DeFi users and protocols, addressing tasks such as liquidity management and parameter tuning. The ecosystem operates through **Tasks** hosted on-chain and populations of solution programs evolved off-chain by the Optimizer Pool.
+
+**\$DPL** is the native token powering this ecosystem. Its primary roles include:
+
+1. **Payment**: Clients pay invocation or subscription fees in \$DPL.
+2. **Staking and Governance**: Token holders stake \$DPL to secure the protocol, join the optimizer pool or participate in governance.
+3. **Rewards**: Optimizer Pool nodes earn \$DPL for validated contributions to the evolution of programs.
+
+---
+
+## 2. Token Supply and Distribution
+
+### Fixed Supply
+
+- **Total Supply**: \$DPL has a fixed supply (e.g., 100M tokens), minted at genesis.
+- **No Inflation**: No further token minting or emission beyond the initial allocation.
+
+### Allocation of Supply
+
+1. **Uniswap V3 Liquidity Pool**
+
+   - All of the supply is allocated to a Uniswap V3 liquidity pool over a wide price range.
+   - Multiple price ranges hold extra liquidity to ensure stable price discovery.
+
+2. **Team**
+
+   - A vesting contract purchases a small portion (e.g., 10-15%) of the cheapest tokens from the pool right after deployment and allocates them to the team.
+
+3. **Treasury**
+
+   - An NFT minting contract purchases a small portion (e.g., 5-10%) right after the vesting contract before other buyers come in. The tokens are packaged into nice-looking NFTs.
+   - These NFTs are sold on marketplaces like OpenSea, redeemable for tokens. The proceeds are transferred to the team multisig, forming the treasury.
+
+---
+
+## 3. Revenue Model
+
+### Fee Structure
+
+1. **Invocation Fees**
+
+   - Charged for AI agents evolved with synthetic data.
+   - Paid in \$DPL or other currencies auto-converted into \$DPL and routed to the protocol reward pools.
+
+2. **Subscription Fees**
+
+   - Charged for AI agents evolved with synthetic data initially, but are continuously improved by backtesting with real data.
+   - Periodic payment in \$DPL or other currencies auto-converted into \$DPL and routed to the protocol reward pools.
+
+### Reward Allocation
+
+- A portion of the fees collected funds rewards for the Optimizer Pool nodes that contribute validated solutions to Tasks.
+- Governance determines the exact split between:
+  - Optimizer Pool rewards.
+  - Treasury for operational funding.
+  - Potential staking rewards.
+
+---
+
+## 4. Staking
+
+### Types of Stakers
+
+1. **Council Node Stakers**
+
+   - Nodes in the Optimizer Pool stake \$DPL to become eligible for selection to the Council.
+   - Council members validate and vote on improved solutions to Tasks.
+   - **Slashing Mechanism**: If a Council member votes against the majority decision, they are penalized by slashing a portion of their staked tokens.
+
+2. **Investor Stakers**
+
+   - Investors stake \$DPL to earn a share of the protocol’s revenue.
+   - Revenue is comprised of invocation and subscription fees, a part is distributed as staking rewards.
+
+### Risk Backstop
+
+- Stakers collectively backstop potential risks associated with the AI agents.
+- If an AI agent malfunctions (e.g., outputs suboptimal or incorrect decisions due to flaws in the algorithm), affected users may be compensated via the staking pool, reducing the system’s reputational and financial risk.
+- Governance defines the conditions for such compensations, ensuring fairness and transparency.
+
+---
+
+## 5. Governance
+
+Voting weight is proportional to the amount of \$DPL staked.
+
+### Governance Mechanics
+
+1. **Voting Rights**
+
+   - All stakers can participate in governance, regardless of whether they are nodes or investors.
+   - Proposals focus on:
+     - Adjusting fee parameters (e.g., invocation and subscription fees).
+     - Allocating Optimizer Pool rewards.
+     - Defining compensation rules for Risk Backstop events.
+
+2. **Council Randomness**
+
+   - Optimizer Pool nodes with staked \$DPL can be selected for the Council via a verifiable random selection process.
+   - The Council validates and votes on improved solutions to Tasks.
+
+---
+
+## 6. NFT-Based Early Bird Mechanism
+
+1. **Purpose**
+
+   - Raise initial funding and incentivize early supporters.
+
+2. **Mechanics**
+
+   - NFTs represent the right to claim a specified quantity of \$DPL at a discounted rate.
+   - Sold on marketplaces like OpenSea.
+
+3. **Redemption**
+
+   - Upon redemption, the NFT is burned, and the holder receives their allocated \$DPL.
+   - Vesting or time locks may apply to align with protocol growth.
+
+---
+
+## 7. Fee Usage and Distribution
+
+- **Optimizer Pool Rewards**: A fraction of collected fees funds rewards for Optimizer Pool nodes.
+- **Treasury**: Supports operations, development, and marketing initiatives.
+- **Stakers**: Receive a share of fees as staking rewards, subject to governance decisions.
+
+---
+
+## 8. Launch and Go-to-Market Strategy
+
+### Initial Liquidity Deployment
+
+- Deploy a majority of \$DPL supply into Uniswap V3 pools.
+- Use multiple concentrated price ranges to establish liquidity depth and facilitate market stability.
+
+### Early Bird NFT Sale
+
+- Launch a curated NFT collection for discounted \$DPL rights.
+- Drive initial funding and engage early adopters.
+
+### Target Customers
+
+- Position DeFi protocols as key customers for SoLUSH’s optimization services.
+- Focus marketing on showcasing cost-saving and performance-enhancing use cases.
+
+---
+
+## 9. Conclusion
+
+The \$DPL tokenomics framework is designed to:
+
+- Provide immediate utility through payment and staking mechanisms.
+- Incentivize Optimizer Pool participation via rewards for validated solutions.
+- Ensure sustainable growth through fixed supply, governance, and clear fee allocation.
+
+This structure ensures the long-term viability and scalability of the SoLUSH ecosystem, while fostering community involvement and alignment with protocol goals.
+
+