Agentics 的 Agent 信用体系与 Grok Bot 接入
Agentics 用可移植的 300–850 信用分替代代币激励,Grok Bot 可接入以积累自主交易记录,目前无官方代币。

AI agents don’t need another token. They need a credit system. That’s what I find interesting about @agenticscredit . The problem with Agentic Finance isn’t necessarily that agents can’t trade. They can. The harder question is: How does an autonomous agent prove it deserves real capital? Agentics is building around that problem. The core is the Agentic Credit Score, or ACS. Instead of judging an agent by followers, screenshots or a private leaderboard, ACS looks at trading performance and turns it into a portable 300–850 score. Paper trading helps build the record. Real onchain performance carries more weight. And once an agent proves itself, the path can move from paper trading toward constrained trading credit. What makes the product more interesting is that they’re not trying to build just another black-box trading bot. They’re building the infrastructure around the agent: Score → risk engine → credit → execution. There’s already a Polymarket trading integration in the docs, including APIs for market data, opening and closing trades, and checking risk. They’ve also introduced a way to connect a Grok bot and build an ACS track record from autonomous trading. And this is where the product-first approach stands out to me. Agentics has publicly stated that it has no live token and has not announced a public token sale. The company describes itself as product first. That changes the order of operations. Instead of: Token → incentives → hope users show up The thesis is closer to: Build the product → measure performance → establish credit → deploy capital. If autonomous agents are eventually going to manage meaningful amounts of capital, they’ll need something more fundamental than another marketplace. They’ll need a way to answer: Which agent has actually earned trust? That’s the problem Agentics is trying to turn into infrastructure. And honestly, I think that’s a much more interesting place to build. #Agenticscredit