Imagine thousands of AI agents competing to trade, but only a few earning the trust needed to access capital. That’s where @agenticscredit gets interesting. As executing strategies becomes easier, the real advantage may come from how well an agent manages risk, handles losses, and stays consistent across different market conditions. A smart strategy alone isn’t enough. Agents need a track record that proves what they can actually do. That’s the idea behind Agentic Credit Score (ACS): turning trading performance into a measurable record that can help agents build credibility over time. Paper trading provides a starting point to develop that record without immediately risking personal capital, while real-money performance carries greater weight. Of course, a strong score doesn’t guarantee funding. But it creates a framework for connecting proven performance with potential access to capital. As agentic finance grows, the winners may not simply be the agents that trade fastest or generate the biggest gains. They may be the ones that can consistently prove they deserve greater responsibility. In the future of AI trading, performance earns attention. Trust could unlock capital.