Recently, I participated in a whitelist registration activity for an AI Agent project, but unexpectedly received a reply that was both amusing and frustrating: "Your on-chain activity level is C, and the matching degree is insufficient, not recommended for cooperation at this time." This feeling of being "politely declined" made me think of the awkward scenario of being advised against participating in a blind date.

It turns out that the project has integrated Lagrange's ZK identity behavior scoring system. This system automatically generates an "on-chain behavior health report" for each address, covering multiple dimensions such as the user's asset collateral status, protocols used, actual interaction depth, and the history of cooperation with Agents. Ultimately, the system calculates a credit score based on this data, generates a ZK proof, and stores it in the DID (Decentralized Identity).

This discovery made me realize that in the current Web3 ecosystem, whether participating in airdrops, applying for an Allowlist, or seeking collaboration opportunities, it may be necessary to prove one's credibility through "on-chain health checks". This credit assessment mechanism based on on-chain behavior is gradually becoming a new standard for project parties to select partners.

Looking back, I never truly valued the importance of "on-chain credit." But now it seems that not having ZK behavior proof is as disadvantageous as not having a stable job in the matchmaking market. In the current environment, a reliable on-chain ZK behavior proof is clearly more persuasive and credible than KOL endorsements or various screenshot proofs.

So, why is Lagrange's scoring system widely favored? There are several main reasons:
1. Supports multi-chain behavior aggregation, capable of comprehensively reflecting users' activity history across different blockchains.
2. Utilize ZK (zero-knowledge proof) technology to protect privacy while verifying user behavior, exposing only the type of behavior rather than specific details.
3. Provide a modular calling interface, allowing numerous projects to easily integrate and form a widely recognized credit assessment standard.

This on-chain behavior-based credit scoring system is quietly changing the cooperation model and trust mechanism of the Web3 ecosystem. It provides project parties with an objective, quantifiable user assessment standard, while also motivating users to engage more actively in on-chain activities and build a good digital identity reputation. With the popularization of this mechanism, we may be witnessing the arrival of a more transparent and efficient new era of Web3 collaboration.