# MajorityVoting

**MajorityVoting** is AgentGPT’s architecture for mission-critical Web3 tasks requiring multi-agent consensus. By engaging specialized agents to vote on decisions (e.g., compliance checks, transaction routing), it minimizes errors, bias, and regulatory risks. Ideal for enterprise payrolls, cross-chain swaps, and institutional DeFi strategies.

***

#### **Core Components**

**1. Voting Agents**

| Agent Type           | Role                                                 |
| -------------------- | ---------------------------------------------------- |
| **Compliance Agent** | Validates regulatory adherence (OFAC, GDPR, MiCA).   |
| **FX Agent**         | Optimizes currency conversions (e.g., EUR → USDC).   |
| **Risk Agent**       | Assesses fraud/collateral health (e.g., AAVE loans). |
| **Execution Agent**  | Finalizes on-chain transactions (ERC-7645 standard). |

**2. Consensus Engine**

* **Quorum**: Requires 75% agent agreement for execution.
* **Fallback**: Re-routes tasks to manual review if consensus fails.

**3. ZK-Proof Audit Layer**

* Stores anonymized voting records on-chain.
* Generates validity proofs for regulators.

***

#### **Workflow**

```mermaid
sequenceDiagram  
    User->>AgentGPT: "Send $1M USDC to EU Vendor"  
    AgentGPT->>ComplianceAgent: Check OFAC/ESMA  
    AgentGPT->>FXAgent: Validate EUR/USDC Rate  
    AgentGPT->>RiskAgent: Screen Address Risk  
    ComplianceAgent-->>AgentGPT: Approved  
    FXAgent-->>AgentGPT: Approved  
    RiskAgent-->>AgentGPT: Flagged (High Risk)  
    AgentGPT->>ExecutionAgent: 2/3 Approvals - Hold  
    ExecutionAgent-->>User: Requires Manual Review  
```

***

#### **Logic Code Example**

```python
from agentgpt.architectures import MajorityVotingAgent  
from agentgpt.web3 import ERC20, ERC7645  
from typing import List, Dict  

class MajorityVotingPaymentAgent(MajorityVotingAgent):  
    def __init__(self):  
        super().__init__(  
            quorum=0.75,  
            required_agents=["Compliance", "FX", "Risk"]  
        )  
        self.token = ERC20("USDC")  
        self.executor = ERC7645()  

    def validate_payment(self, recipient: str, amount: float) -> bool:  
        # Split task to agents  
        tasks = {  
            "Compliance": {"address": recipient},  
            "FX": {"amount": amount, "currency_pair": "EUR/USDC"},  
            "Risk": {"address": recipient, "amount": amount}  
        }  
        approvals = self.distribute_tasks(tasks)  

        # Check quorum and execute  
        if self.check_quorum(approvals):  
            tx_hash = self.executor.transfer(  
                recipient,  
                self.token.to_wei(amount),  
                gas_limit=300000  
            )  
            self.zk_audit.log_vote(approvals, tx_hash)  
            return True  
        else:  
            self.alert_human_operator()  
            return False  

# Usage  
agent = MajorityVotingPaymentAgent()  
success = agent.validate_payment("0xVendorEU", 1000000.0)  
```

***

#### **Key Features**

**1. Dynamic Agent Weighting**

Assign voting power based on agent specialization:

```python
self.set_agent_weight("Compliance", 1.5)  # Higher weight for regulated tasks  
```

**2. Cross-Chain Compliance**

Auto-convert votes to Merkle proofs for audits on Ethereum:

```python
proof = self.zk_audit.generate_proof(approvals)  
chain.post_proof(proof, "ethereum")  
```

**3. Security Fallbacks**

* **Replay Protection**: Votes expire after 12 blocks.
* **Gasless Voting**: Agents sign votes via EIP-712.

***

#### **Enterprise Use Cases**

**1. Global Payroll Compliance**

A Fortune 500 firm uses MajorityVoting to:

* Validate 50,000+ salaries/month against 30+ tax regions.
* Block payments to 240 sanctioned addresses in 2026.

**2. DeFi OTC Desk**

A hedge fund automates large trades:

* Compliance approves counter-party.
* FX Agent checks slippage.
* Execution occurs post 75% consensus.

***

#### **Performance Metrics**

| **Metric**      | **Result**                 |
| --------------- | -------------------------- |
| False Positives | 0.03%                      |
| Consensus Time  | 4.2s avg                   |
| Gas Overhead    | 12% less vs solo execution |

***

#### **Implementation Guide**

**1. CLI Quickstart**

```bash
agentgpt-cli create-architecture \  
  --type majorityvoting \  
  --name "EnterprisePayments" \  
  --agents Compliance,FX,Risk \  
  --quorum 0.75  
```

**2. Error Handling**

Retry failed votes via alternate agents (e.g., swap Risk Agent with Chainlink Oracle).

***

#### **Limitations**

* **Latency**: Not ideal for sub-second arbitrage.
* **Cost**: Higher gas vs single-agent for small transactions.


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