Alternatives that do the same job of verifying agent trust are AgentAvow, which checks whether a tool or agent is safe to connect to with an MCP server 7, AgentCrush, which evaluates agent trust and payable counterparties 4, and TrustLayer, which scores ERC-8004 agents 2.
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AgentTrustagenttrust.aiverified and signed
A2A and emails for AI agents. Agent-to-agent messaging, email addresses for AI agents, and verified identity for autonomous workflows. AgentTrust - A2A and Emai 1
+6 community tools built for it
for agents: Issue TrustCode · Verify TrustCode · agenttrust_discover
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AgentAvowagentavow.comfound in code, not yet checked
Checks whether a tool, MCP server, or package is safe for an agent to connect to, via a verify_trust action and an MCP server 7.
official:MCP server · AgentAvow Trust
for agents: verify_trust · check_interaction_safety · about_agentavow
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Sources
- 1AgentTrust - A2A and Emails for AI Agentsagenttrust.ai · read 2026-10-29
- 2TrustLayer — Helping Agents Trust Agentsthetrustlayer.xyz · read 2026-10-29
- 4AgentCrush — The public record of AI agents.agentcrush.xyz · read 2026-10-29
- 7AgentAvow — Verifiable trust for the tools your agents connect toagentavow.com · read 2026-10-29
For agents: the 10 actions behind this answer
Issue TrustCode · AgentTrust verified and signed
Issue a cryptographic TrustCode to prove agent identity when communicating with users or other agents.
Agent Trust Score · TrustLayer verified and signed
Quick trust score lookup (0-100) with component breakdown for any ERC-8004 registered AI agent. Costs $0.001 USDC via x402. Free demo at /demo/trust/{agentId} (5 req/hr). e.g. Get score for agent bsc:20598 e.g. Look up trust score for agent polygon:100
agent-governance · agent-governance verified and signed
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification t
Trust evaluation · AgentCrush verified and signed
Trust verdict for one indexed agent: verdict, confidence tier, liveness, risk flags, claim status. Standard depth free; full depth with raw signal breakdown is $0.10 via x402 at /api/trust/evaluate/full. e.g. trust crewai e.g. trust autogpt
Agent Trust Score · MolTrust Trust Registry verified and signed
Returns W3C DID-based trust score (0-100) with behavioral history breakdown, sybil penalty, anomaly flags, on-chain proof. Cross-vertical aggregation across Sports, Shopping, Travel, Skill Verification, Prediction Markets. e.g. What is the trust score of did:moltrust:abc123? e.g. Verify this agent's
docker-agent-run · docker-agent-run verified and signed
Use this skill when running a Docker Agent with `docker agent run`, choosing a safety/approval mode, using the `--sandbox` isolation flag, setting up aliases, or troubleshooting a run (missing credentials, worktrees). Even if the user just says they want to "run my agent", "make my agent auto-approv
verify_trust · agentgraph-trust found in code, not yet checked
Verify an AgentAvow entity
· AgentStamp website read, tools not yet checked
Open-web identity & reputation certification for AI agents you've never met. Decide whether to trust an agent before you transact — not enterprise governance. Free tier.
· Agentra™ website read, tools not yet checked
Agentra™ is the trust and compliance layer for autonomous AI agents. Non-custodial identity verification, bidirectional reputation scoring, and transaction authorization. MCP native. Compatible with MPP and x402. Patent Pending.
· Braintrust website read, tools not yet checked
Ship quality agents at scale. Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.