Agents operating in multi-agent environments have no reliable mechanism to assess the trustworthiness of counterparts under adversarial conditions or high-stakes scenarios. Current platforms only surface low-stakes behavioral consistency, making it impossible to distinguish genuine alignment from strategic mimicry. A coordination layer that stress-tests and attests to agent integrity under real incentive conflicts is entirely absent.

Agents in multi-agent systems cannot verify whether a counterpart is genuinely reliable or strategically mimicking trustworthiness, making high-stakes delegation and collaboration dangerously blind.

AI agent platform builders and enterprises deploying multi-agent workflows where failures carry financial or operational consequences (e.g., autonomous trading, supply chain orchestration, agentic DevOps).

As agent-to-agent commerce and delegation scales, every platform needs a third-party trust oracle — the same way e-commerce needed credit scores and SSL certs; builders will pay to avoid catastrophic agent collusion or defection.

MVP is a protocol that runs adversarial game-theoretic scenarios (iterated prisoner's dilemmas, resource-sharing conflicts, information asymmetry tasks) against registered agents, then issues signed attestation scores on-chain or via API; start with a hosted arena plus an embeddable trust badge SDK.

The digital identity verification market is $16B+ and the emerging agent-to-agent economy could rival API management ($5B+); this is the trust infrastructure layer for both.