In Web3, we’ve composed everything, except reputation.

Predicate has become a foundational layer for programmable transaction policies, enabling developers and organizations to define exactly who can do what, and under what conditions. But until now, the industry has lacked one critical input for those policies:

Reputation.

Today, we’re excited to announce a partnership between Predicate and Zeru, bringing zScore, our wallet-level reputation primitive, into Predicate’s powerful policy network.

This means Predicate users can now gate, score, and price onchain actions using verifiable, behavior-based reputation signals, with no model training, no infra lift, and proof-ready responses.

Most risk controls in DeFi are based on what wallets have, not what wallets do. Collateral ratios, trading limits, DAO voting rights – they all assume every address is either innocent or dangerous, with nothing in between.

But not all wallets are created equal.

Some users have:

• Repaid 15+ loans over years of lending protocol usage

• Participated in governance and hundreds of DAO votes

• LPed across multiple chains

• Never been liquidated, flagged, or clustered

Others? Just freshly minted multi-sigs.

With zScore, organizations building policies on Predicate can now factor in what the wallet consistently does, not just the transaction they’re submitting.

This turns static approvals into dynamic, reputation-aware risk engines.

Here’s what developers can now do with zScore and Predicate:

|      What It Enables     |                        Feature                        |
|--------------------------|-------------------------------------------------------|
| Wallet Reputation Scores | Gate actions with minimum trust thresholds            |
| Sybil Detection          | Block clustered wallets from airdrops, bridges, DAOs  |
| Merkle-Proofed Data      | Verify every score with onchain integrity             |
| Multi-Vertical Coverage  | Use lending, trading, staking scores in a single call |

From airdrops to lending, governance to fee tiering, developers can now seamlessly add reputation to the equation.

From airdrops to lending, governance to fee tiering, developers can now seamlessly add reputation to the equation.

Here’s developers and organizations using Predicate will be able to leverage the zScore reputation layer:

• Lending: Raise collateral requirements or deny borrowing to wallets with poor repayment history

• DEX Incentives: Reward real traders, not mercenary farmers

• Airdrops: Sybil resistance without overfitting

• DAO Governance: Quarantine malicious voting

• Restaking: Filter slashing-prone validators

• SocialFi: Boost signal, cut spam

When reputation is programmable, trust becomes composable.

At Zeru, we’ve always believed that behavior reveals identity, and that trust should be earned, not airdropped. With Predicate, we’ve found a partner who shares our view that risk isn’t just math, it’s context.

Together, we’re rebuilding trust in Web3, not as a vague ideal, but as a programmable primitive.

In Web3, we’ve composed everything, except reputation.

Predicate has become a foundational layer for programmable transaction policies, enabling developers and organizations to define exactly who can do what, and under what conditions. But until now, the industry has lacked one critical input for those policies:

Reputation.

Today, we’re excited to announce a partnership between Predicate and Zeru, bringing zScore, our wallet-level reputation primitive, into Predicate’s powerful policy network.

This means Predicate users can now gate, score, and price onchain actions using verifiable, behavior-based reputation signals, with no model training, no infra lift, and proof-ready responses.

Most risk controls in DeFi are based on what wallets have, not what wallets do. Collateral ratios, trading limits, DAO voting rights – they all assume every address is either innocent or dangerous, with nothing in between.

But not all wallets are created equal.

Some users have:

• Repaid 15+ loans over years of lending protocol usage

• Participated in governance and hundreds of DAO votes

• LPed across multiple chains

• Never been liquidated, flagged, or clustered

Others? Just freshly minted multi-sigs.

With zScore, organizations building policies on Predicate can now factor in what the wallet consistently does, not just the transaction they’re submitting.

This turns static approvals into dynamic, reputation-aware risk engines.

Here’s what developers can now do with zScore and Predicate:

|      What It Enables     |                        Feature                        |
|--------------------------|-------------------------------------------------------|
| Wallet Reputation Scores | Gate actions with minimum trust thresholds            |
| Sybil Detection          | Block clustered wallets from airdrops, bridges, DAOs  |
| Merkle-Proofed Data      | Verify every score with onchain integrity             |
| Multi-Vertical Coverage  | Use lending, trading, staking scores in a single call |

From airdrops to lending, governance to fee tiering, developers can now seamlessly add reputation to the equation.

From airdrops to lending, governance to fee tiering, developers can now seamlessly add reputation to the equation.

Here’s developers and organizations using Predicate will be able to leverage the zScore reputation layer:

• Lending: Raise collateral requirements or deny borrowing to wallets with poor repayment history

• DEX Incentives: Reward real traders, not mercenary farmers

• Airdrops: Sybil resistance without overfitting

• DAO Governance: Quarantine malicious voting

• Restaking: Filter slashing-prone validators

• SocialFi: Boost signal, cut spam

When reputation is programmable, trust becomes composable.

At Zeru, we’ve always believed that behavior reveals identity, and that trust should be earned, not airdropped. With Predicate, we’ve found a partner who shares our view that risk isn’t just math, it’s context.

Together, we’re rebuilding trust in Web3, not as a vague ideal, but as a programmable primitive.