Comprehension Gated Agent Economy (CGAE)

Most agent frameworks treat task receipt as sufficient grounds for execution. CGAE (Comprehension-Gated Agent Economics) rejects that assumption. CGAE is a permissions protocol for multi-agent economic systems. Before any autonomous agent can participate in a transaction or collaborative workflow, it must pass a structured comprehension gate: a verification challenge that confirms the agent understands the task's constraints, scope, and risk surface. Agents that fail are blocked at the protocol level. Agents that pass receive a signed authorization token. The gate is enforced on-chain via Solana smart contracts, making every authorization decision auditable and tamper-resistant. This matters for enterprise deployment. When agents coordinate at scale across financial, operational, or decision-making workflows, a single misaligned agent can cascade failures through the entire system. CGAE is the enforcement layer that prevents that. It does not rely on prompt engineering or application-level checks. The proof is the record. Empirically, CGAE blocks 31% of agent attempts at Gate 1 and surfaces a comprehension-execution dissociation on hard tasks: agents that appear capable of executing a task frequently cannot demonstrate they understand what they are doing. This is the gap that causes enterprise AI deployments to fail in production. The system is live, open-source, and tested across 11 frontier models. It is deployed on Solana for transaction-speed enforcement and is the core infrastructure layer of VyasaLabs, built as the settlement layer for verified agent-to-agent economic activity.