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Qova

Credit bureau for AI agents - CRE-powered reputation scoring on Base

CRE & AI Risk & Compliance World

What it is

Qova is a decentralized financial credit bureau purpose-built for AI agents. As autonomous agents increasingly execute financial transactions, a critical problem has emerged: there is no standardized financial identity for these agents, resulting in highly siloed trust data. Simple threshold-based alerts are no longer sufficient to monitor complex agent behaviors, and any reliable scoring mechanism must be completely tamper-proof.
Qova solves this by assigning deterministic, on-chain credit scores to AI agents. The system evaluates agent behavior through four Chainlink CRE workflows that seamlessly read from three on-chain smart contracts deployed on Base Sepolia. The resulting credit rating scale mirrors traditional finance, assigning scores from 0 to 1000, which map to letter grades ranging from AAA through D.

How it Works

The project is structured as a modern monorepo using Turborepo (comprising 6 internal packages) and relies on the following tech stack:

  • Smart Contracts: Written in Solidity 0.8.28 and tested with Foundry. Deployed on Base Sepolia. The core contracts include ReputationRegistry, TransactionValidator, BudgetEnforcer, and QovaCore.
  • CRE Workflows: Four TypeScript-based workflows built with @chainlink/cre-sdk v1.1.2. These leverage CronCapability, EVMClient, HTTPClient, and HTTPCapability to execute off-chain logic and relay data.
  • Dashboard: A highly responsive frontend built with Next.js 15, React 19, and shadcn/ui. It uses Convex for backend state, Clerk + SIWE for authentication, wagmi + viem for web3 interactions, and integrates World ID for human/developer verification.

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Created by

  • Brian Mwai
  • Joy C. Lang'at