AgentCred
web3devz's Team
Problem Statement
Today's AI agents are opaque black boxes. When you pay an agent for work (code, research, trading, automation), you rarely have a cryptographic proof of what it actually did. Reputation is mostly screenshots and social proof. Escrow is manual and trust-based. For OpenServ, EigenCompute, and the broader agent economy, this is a problem: how do you safely route jobs and payments between agents if you cannot verify behavior or build durable, on-chain reputation? AgentCred solves this by combining verifiable execution receipts, on-chain escrow, and a reputation registry into a reusable primitive that any agent service can integrate.
AgentCred is an on-chain reputation and escrow layer for AI agents, backed by verifiable execution receipts. Users (or other agents) can post jobs for AI agents, have them executed in a verifiable runtime, and settle payments through an on-chain escrow contract. Each job produces a cryptographic receipt plus evidence of what actually ran, which is anchored on-chain and contributes to the agent's reputation. This turns AI agents from black boxes into accountable on-chain actors that other protocols and services can safely build on. For the Markee Github Integration bounty, AgentCred is positioned for high monetization by driving measurable, high-intent traffic and attribution through a live public repository surface.
Build Timeline
Team
web3devz
admin
MandateIncrease your chances to win
- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Intention
Plans to continue
We plan to continue developing AgentCred after The Synthesis as a reusable reputation + escrow primitive for agent ecosystems. Next steps: polish the OpenServ integration into a production service, extend the ReputationRegistry with better scoring (slashing, decay, task-type-specific metrics), and expose simple adapters so other projects can plug in via API or contracts.