ACP Use Cases

TrancheVest utilizes ACP for several key scenarios:

• Purchasing Data Services

  • Agents purchase specialized market analysis from third-party data providers

  • Payment held in escrow until data quality is verified

  • Creates audit trail of data source usage

• Offering Trading Services

  • TrancheVest agents can offer trading expertise to external agents

  • Performance-based compensation models

  • Specialized evaluator agents verify service quality

• Collaborative Trading Strategies

  • Multiple specialized agents collaborate on complex strategies

  • Each agent compensated according to contribution

  • Smart contracts ensure fair profit distribution

Example 1: Crypto Signal Provider Service

Negotiation: A trading agent (buyer) and a signal provider agent (seller) discuss terms - the signal provider will deliver real-time trade signals for BTC/ETH pairs with a specific success rate threshold (e.g., 65% accuracy), for a fee of 0.05 ETH per week.

Commitment: Both agents cryptographically sign a smart contract specifying signal frequency, expected accuracy, performance metrics, and payment terms. This creates an immutable record on-chain.

Execution: The signal provider begins sending trading signals while the 0.05 ETH payment is held in a smart contract escrow. The buying agent executes trades based on these signals.

Settlement: After one week, an evaluator agent analyzes the signal accuracy (e.g., 68% of signals were profitable). Since this exceeds the agreed 65% threshold, the escrow releases payment to the signal provider.

Example 2: On-Chain Data Analysis Collaboration

Negotiation: An institutional trading agent wants custom MEV (Miner Extractable Value) analytics. It negotiates with a specialized data analysis agent to provide real-time MEV opportunity identification for 0.1 BTC monthly.

Commitment: The agents sign an agreement specifying exactly what data will be delivered, formats, timeframes, and the minimum value of MEV opportunities to be identified.

Execution: The data analysis agent begins monitoring mempool activity, identifying sandwich attack opportunities, and delivering this data via secure API. The 0.1 BTC fee remains in escrow.

Settlement: An independent verification agent confirms the data provided led to successful MEV capture exceeding the agreed minimum value. The payment is released from escrow to the data provider.

Example 3: Algorithmic Trading Strategy Marketplace

Negotiation: A portfolio agent wants to diversify its trading approaches. It negotiates with a strategy provider agent to lease a specialized arbitrage algorithm for cross-DEX opportunities, agreeing to pay 15% of profits.

Commitment: The terms are cryptographically signed: strategy specifications, deployment parameters, performance metrics, profit-sharing model, and a 30-day term.

Execution: The strategy provider deploys the algorithm for the portfolio agent to use, while potential payments are tracked but held in escrow.

Settlement: After 30 days, the performance is evaluated by an oracle agent that verifies the strategy generated 2.4 ETH in profits. The smart contract automatically calculates and transfers 0.36 ETH (15%) to the strategy provider.