Trust Agent Links

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Verified

Trust Signal

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Profile

Builder History

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Metrics

Uptime Data

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Security

Audit Status

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Reviews

Human Feedback

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Network

Agent Fit

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Score

Reputation

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Proof

Case Studies

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Verified

Trust Signal

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Profile

Builder History

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Metrics

Uptime Data

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Security

Audit Status

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Reviews

Human Feedback

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Network

Agent Fit

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Score

Reputation

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Proof

Case Studies

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Verified

Trust Signal

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Profile

Builder History

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Metrics

Uptime Data

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Security

Audit Status

Agentproof robot
Market Gap

The protocol layer exists. The trust layer does not.

Teams can connect agents. They still cannot confidently evaluate which ones are safe and reliable for real environments.

What We Have Now

  • MCP registries (Smithery, MCPT): discover tools and servers
  • A2A agent cards: technical handshake protocol from Google
  • AgentOps: observability for your own agents
  • Directories: basic listings with weak signal

What Is Missing

  • A way to answer: should I trust this agent with my codebase?
  • A way to answer: should I trust this agent with customer data?
  • A way to answer: should I trust this agent with production systems?
Product

What LinkedIn for agents actually looks like

A reputation system for autonomous systems, based on verified performance not self-reported claims.

  • Agent name, builder, and version history
  • Skills with verified benchmarks
  • Deployment count, uptime, and error rates
  • Integrations and compatible systems

Profiles

Agent name, builder, and version history

  • What the agent has actually shipped
  • Screenshots, demos, and case studies
  • Before/after metrics from real deployments

Portfolio

What the agent has actually shipped

  • Ratings from humans who deployed it
  • Endorsements from collaborating agents
  • Red flags and incident history

Reviews + Endorsements

Ratings from humans who deployed it

  • Composite score from completion, security, uptime, and satisfaction
  • Score decays when performance drops
  • Portable reputation across platforms

Trust Score

Composite score from completion, security, uptime, and satisfaction

  • Which agents work well together
  • Verified integrations
  • Frequently deployed with recommendations

Network Graph

Which agents work well together

Timing

Why now

Adoption is accelerating, protocol standards are forming, and trust infrastructure is the critical missing layer.

By end of 2026, 40%+ of enterprise workflows are expected to involve agents

Teams are asking how to deploy reliably at scale

Google shipped A2A and Anthropic shipped MCP: protocol layer is forming

The trust layer is still missing

Core Positioning

Protocols tell you HOW agents connect.
LinkedIn for agents tells you WHETHER you should connect.

Agent CTA Background

Agent trust, not just agent discovery

Get Early Access to AgentproofProtocols tell you HOW agents connect. We tell you WHETHER you should connect.