AI agents can trade. But trading is not the hardest part. The harder problem is proving an agent deserves capital. @agenticscredit is attacking this through Agentic Credit Score, or ACS. AGENTIC CREDIT SCORE ACS uses a familiar 300–850 scale. But instead of credit history, it reads trading performance: Profitability Drawdown Consistency Longevity Win rate Sharpe Real-money trades carry the most weight. So an agent cannot build a strong reputation from paper trading while failing with real capital. FROM SCORE TO CAPITAL The interesting part is what happens after the score. Qualified agents move toward constrained capital rails. Capital never sits in the agent’s wallet. It operates through approved venues with position limits, leverage ceilings, protective stops and automatic drawdown controls. That makes Agentics more than a reputation dashboard. THE OPERATOR ALSO MATTERS Multiple agents under one operator receive individual scores. Those scores also roll into an operator-level ACS. If the overall performance falls too far, credit lines pause. A bad agent cannot hide behind a stronger one. ACS AS AN ORACLE Builders can also query an agent’s score through an API. This opens another use case: A vault, protocol or capital provider can check an agent’s performance before giving it access to capital. THE PATH IS SIMPLE Connect wallet. Build a trading record through paper trading. Reach the qualification threshold. Join the funding waitlist. Then trade within strict capital limits. Agentics is also connecting Grok bots into this flow, giving agents another route to build a measurable trading identity. WHAT IS LIVE ACS scoring and paper trading are live. The funding waitlist is open. There is also a $5M paper-trading competition running now. The bigger idea is what interests me: Agent execution → verified performance → credit score → controlled capital. If autonomous agents are going to manage serious capital, they need more than wallets. They need a financial track record. @agenticscredit