TRENCHNET：Jev 先筛、贵模型后分析的钱包监控
Jev 对每笔链上事件先判 skip/flag/investigate，只有需要深挖时才调用 Astra，作者称 agent 团队年成本从 1.9 万美元降到 500 美元。
Diogo Almeida, founder of TypeSafe and former OpenAI researcher: Jev Engineering. Imagine your entire agent team costs $500 a year. You used to budget $19,000 for the same workload. The savings are simple: Jev from TypeSafe handles routine decisions. The expensive model only gets called when a deeper analysis is needed. Here’s how I divide the roles in TRENCHNET: > Jev decides: skip, flag or investigate. > The graph checks which wallets regularly move together. > Astra handles the deeper analysis. > Telegram delivers the alert with transaction links. A wallet buys. Another follows. Both buy again. Each event could trigger an expensive analysis. Jev first determines whether one is needed at all. Several matching buys look convincing. Until the history shows the same group repeating a familiar pattern. You keep the final decision. Astra gets the difficult work. The market never closes. But the expensive model doesn’t need to discuss every transaction all night. I break down how this works in TRENCHNET in the post below ↓
这条是引用着另一条写的：「用 Jev 做 pump.fun 交易监控路由层」