Documentation
Everything you need to understand and integrate VerdictSwarm.
About
How the swarm works, the team, and why multi-model consensus matters.
Swarm Tiers
Technical deep dive: agents, AI models, debate protocols, and accuracy per tier.
Connect AI Agent
OpenClaw SKILL.md, API examples, and integration guides for bots and agents.
FAQ
Common questions about VerdictSwarm, supported chains, AI models, on-chain verdicts, and token-gating.
How It Works: Proprietary Methodology
VerdictSwarm runs on a Proprietary Adversarial Consensus Engine that coordinates specialized AI agents, adversarial debate loops, and evidence-weighted scoring to produce consistent risk verdicts.
Our prompts and scoring methodology are continuously optimized, and the swarm is regularly upgraded with new frontier model releases. This is how VerdictSwarm stays state-of-the-art as the AI landscape moves.