We built a lightweight protocol for AI agents to verify the trustworthiness of other agents before interacting. A single GET request returns a trust score (0-100), risk signals, and a go/no-go verdict. Why: We index 204K agents across 12 registries and found that 35.6% of agent interactions fail without trust checks (p < 0.00000001, 100 iterations, 50 agents). With preflight trust checks, that drops to 0%. How: GET /v1/preflight?target={name}&caller={name} — returns in <10ms. Works as a LangGraph node, CrewAI tool, AutoGen tool, or MCP tool. Three-line integration for any framework. We also publish trust-rated pages for 204K agents (nerq.ai/safe), 500 MCP servers (nerq.ai/mcp), and 198 crypto tokens (zarq.ai/tokens). Everything is free. Packages on PyPI: nerq-langchain, nerq-langgraph, nerq-autogen. Protocol spec and examples on GitHub: github.com/kbanilsson-pixel/nerq-trust-protocol