In the world of Blockchain, the issuance of Tokens by the project party is no longer a key issue; the real challenge lies in determining the recipients of the Token distribution. This situation has led to an interesting phenomenon: some users can acquire Tokens worth hundreds of dollars through a single simple interaction, while others may end up with nothing even after dozens of transactions.



The fundamental reason for this difference lies in whether users are regarded by the project party as a "recognizable and trustworthy" group. Today's blockchain projects have established a sophisticated screening mechanism. Although this mechanism is public, many users are not aware of its importance.

This screening mechanism mainly considers the following aspects:
1. Hold the token for a long time without withdrawing.
2. Interact with multiple smart contracts
3. Actively participate in DAO governance
4. Stay active on multiple Blockchain networks and use a consistent address.
5. Have verifiable historical data, with no fraudulent activities.

These seemingly complex standards do not actually require manual review. The project party has utilized a system called Lagrange to automate this process. The core function of the Lagrange system is to filter addresses that meet certain criteria through SQL queries. For example, it can query addresses that are active stakers on the Ethereum network, have participated in at least two governance votes, and have cross-chain history.

Lagrange not only can search data across the entire blockchain but also can generate proofs using Zero-Knowledge Proof (ZK) technology. Smart contracts can directly read these results to determine whether to issue tokens to a specific address or blacklist it.

This means that whether a user can be selected or excluded entirely depends on their behavior record on the Blockchain. Lagrange, as an essential tool Token in this ecosystem, plays a key role in querying user behavior logic.

For blockchain participants, it has become increasingly important to understand and adapt to this on-chain behavior-based screening mechanism. It not only affects individual participation in the project but also reflects that the entire blockchain ecosystem is evolving towards a more refined and data-driven direction.
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Layer3Dreamervip
· 07-25 04:42
Theoretically speaking, this SQL-based filtering reminds me of recursive SNARKs for composable reputation systems. While Lagrange's approach is elegant, has anyone considered L3 attestation vectors for cross-chain identity verification?
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