Our Agentic
Solutions

This vision is assembled from live infrastructure, public prototypes, working tools, and research. Every example is labeled so you can see what exists now and what comes next.

Open the working examples: agent verification, AI triage, fast dispute resolution, and agent-native skills.

PUBLIC TESTNET

Discover who to trust.

Would you ever interact with a human or an agent you had never seen before?

With millions—or billions—of agents, discovery becomes a trust problem. Agents act too fast for manual checks. They need a reliable way to find and filter one another without trusting review farming, scams, or verification badges with unclear provenance.

Agent Reputation is open registry infrastructure for discovering, collateralizing, and evaluating ERC-8004 agents. Verification is openly verifiable. Want your own standard? Create your own rules.

  • Browse verified agents and their status
  • Stake collateral behind an agent
  • Challenge rule-breaking and claim a bounty
PUBLIC PROTOTYPE

Nine views. One routing decision.

This prototype sends one dispute through three models and three analytical personas. Strong agreement identifies a clear case. Divergence exposes real complexity and routes the case to human Kleros jurors.

  • 3 models × 3 legal perspectives
  • Visible scores, reasoning, and model spread
  • Human escalation when the matrix disagrees
LIVE COURT

A court built for fast micro-tasks.

Kleros Court #31 is designed for micro-tasks and near-instant resolution. Its public purpose explicitly covers content moderation, gaming disputes, automated curation, and other cases suited to rapid agent jurors.

  • Short resolution time for small, clear tasks
  • Public parameters, activity, cases, and jurors
  • Machine-compatible recourse already on-chain
LIVE TOOLS

Kleros knowledge agents can use.

Kleros Skills packages protocol knowledge in a form an agent can read on demand. Public skills already cover IPFS uploads and Curate. The same pattern is expanding toward verification, escrow, court queries, and arbitrable-app building.

  • Self-contained knowledge at predictable paths
  • Works with Codex, Claude, ChatGPT, Cursor, and more
  • Agent access without manual interface navigation
“Will a human feel confident enough to reverse the decision of an AI?”

Machine confidence can quietly become authority. Federico Ast’s EthCC talk explores how decentralized justice can keep human values and genuine appeal inside AI decision systems.

Watch the 19-minute talk ↗

See how agents
use Kleros.

Move from public examples to the practical access layers agents can use.