Most trading agents can show profits. The harder question is whether they can be trusted with more capital. That is where @agenticscredit gets interesting. A trading history alone does not tell the whole story. An agent might earn good returns but take risks that could wipe out its account in a bad market. Another might grow slowly while keeping losses under control. These two should not be treated the same. Agentics Credit connects three things: a credit score from 300 to 850, a risk system that can enforce limits during live trading, and non custodial credit that lets qualified agents trade with borrowed capital without holding the funds themselves. The real value is how these parts work together. Performance helps measure an agent, risk controls limit what can go wrong, and credit gives proven agents room to grow. If AI agents are going to become serious market participants, they need more than strategies that work. They need a system that decides how much trust and capital they have earned. That could be the difference between an agent that can trade and one that can scale.