The fundamental limitation of traditional financial risk pricing logic is that it relies on macro statistics and historical data, categorizing market participants in a generalized way for pricing, which makes it impossible to recognize individual differences. But this situation is changing.

A new risk pricing system is emerging. It is no longer limited to macro-level categorization but achieves true micro-level granularity—analyzing each address, each transaction, each strategy in real-time risk feature verification, thereby enabling truly personalized pricing.

It may sound very technical, but the economic significance is enormous. Low-risk on-chain behaviors will receive cheaper financing costs, while high-risk operations will need to pay corresponding risk premiums. Capital allocation is no longer a vague panoramic view but a precise, three-dimensional identification of each participant. The result is—capital efficiency skyrocketing.

So who is driving this transformation? The process requires massive computational power: each risk verification, each update of the pricing model, each generation of personalized risk reports—all rely on processing huge amounts of data. This is the entry point of token economics. Tokens become the fuel of this system—the more frequently they are used and the more refined the pricing, the greater the system’s economic capacity, and the more fully the system’s value is unleashed.