Recently, AI projects have been launching one after another,

AI + Web3 has become the trend of the trend.

But has anyone thought about a fundamental question:

What does AI actually eat? What does it rely on to grow?

— The answer is simple: data

But in Web3, where is the data?

Who will feed these AIs 'on-chain data'?

📌 For example:

You want to train an AI Bot to trade automatically,

Do you need:

• All wallet history of addresses

• The asset change trends of each chain

• Data alignment and verification for each chain

These fragmented, multi-chain, heterogeneous data,

Lagrange, it connects you with just one key.

🧠 What is Lagrange?

Not another Layer 2, not a pure ZK project,

But rather—

The 'data communication officer' + 'ZK verification agency' of the Web3 world.

📡 Its core weapons are three:

1. Cross-chain data query protocol (DSL)

A set of query language, querying on-chain data like SQL, but cross-chain version!

Want to check the USDC balance on Arbitrum + ZKsync wallet activity? One sentence solves it!

2. ZK Coprocessor architecture

It is equivalent to installing a 'trustworthy secondary brain' on each chain.

Don't trust the main chain computation? No problem, ZK will verify!

3. AI Agent's fuel station

Future Agents need data nourishment, Lagrange is a natural data gold mine!

AI wants to enter Web3, it cannot avoid data.

What Lagrange provides is precisely a 'structured + verification + multi-chain' data source.

Not only can it feed them, but it can also ensure that it is 'clean, legal, and trustworthy.'

💥 So the question arises:

Next-generation AI applications, whose data sources will be used?

Where does ZK verification logic run?

How do AI Agents operate in multi-chain scenarios?

👇👇👇

The answer almost always circles back—Lagrange.

This is not a traditional hair-pulling tool,

But rather the 'foundation of AI x Web3'!

Imagine, the AI assistant installed in your home in the future:

• Helping you check wallets

• Helping you deploy strategies

• Helping you discover early projects

The data logic behind it is mostly provided by Lagrange.

So now participating in its ecosystem, interacting, and obtaining identity credentials,

Essentially, it is marking 'seed users' for the future AI world.

⛳ Future on-chain Agents will not only be intelligent,

It also helps you generate a profit loop on-chain.

And Lagrange is writing their 'birth certificates.'

📌 In summary:

Without Lagrange, AI won't have anything to eat.

@Lagrange Official

🏷 #Lagrange