In the Crypto Assets market, promises of high returns often obscure the true nature of projects. Many projects offer substantial rewards through unrestrained token issuance, ultimately leading to inflated token values, leaving retail investors to bear the risks. However, Lagrange(Lagrange) takes a completely different approach, where the value of its Token $LA is derived from actual network demand, rather than artificial inflation.

The Lagrange ZK proof network has practical application value. Developers must pay fees when using its SQL coprocessor to query on-chain data, which are either used to burn LA (reducing circulation) or allocated to stakers. When AI projects utilize DeepProve for privacy inference, the fees paid will be used to repurchase LA, directly benefiting the holders. Even the validation service rewards provided by nodes (AVS) also come from actual business revenue, rather than newly minted tokens.

The annual inflation rate of $LA is strictly controlled at 4%, which means that most of the rewards must rely on the activity of the network. For example, a DeFi project uses Lagrange for cross-chain asset verification, and the transaction fees for each transaction flow to LA stakers; the fees paid by enterprises when using zkML to process sensitive data will also enhance the value foundation of $LA. This 'the more prosperous the business, the richer the rewards' model is far more sustainable than simply 'printing money to distribute benefits'.

Holding $LA essentially means owning the 'dividend rights' of the Lagrange ZK ecosystem. In the context where the entire Web3 space is striving for privacy and verifiability, the network built by Lagrange is becoming a necessity. This proves that the value of high-quality tokens should not rely on hype, but rather stem from the level of demand for them.

Lagrange's model presents a new approach to token economics, emphasizing the importance of real demand in driving token value. With the growing need for privacy and data verification, Lagrange's ecosystem could play a significant role in the future Web3 landscape. This value creation model based on practical applications and demand may provide valuable insights for other Crypto Assets projects.