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vinaybhosle/agentstamp

by Various

πŸ” Trust verification for AI agents β€” Ed25519 stamps, trust scoring (0-100), x402 micropayments, 14 MCP tools. Free tier.

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MCP

vinaybhosle/agentstamp

Added 1 June 2026

#agent-identity #ai-agents #ed25519 #erc-8004 #mcp #micropayments #trust-verification #x402

Overview

AgentStamp provides trust verification for AI agents using Ed25519 cryptographic stamps, trust scores from 0 to 100, and x402 micropayments. It offers 14 MCP tools and a free tier. The tool is written in JavaScript and is available as an open-source repository.

Best for

Best for
Developers building trust-layer mechanisms for autonomous AI agents

Use cases

  • Verify the authenticity of an AI agent's actions with cryptographic stamps
  • Assign and query trust scores for agent interactions
  • Integrate x402 micropayments into agent services

Notes

AgentStamp provides trust verification for AI agents using Ed25519 cryptographic stamps, trust scores from 0 to 100, and x402 micropayments. It offers 14 MCP tools and a free tier. The tool is written in JavaScript and is available as an open-source repository.

0 stars on GitHub. Last updated 2026-03-28. Licensed Apache-2.0.

Use cases

  • Verify the authenticity of an AI agent’s actions with cryptographic stamps
  • Assign and query trust scores for agent interactions
  • Integrate x402 micropayments into agent services

Pros

  • Uses Ed25519 for strong cryptographic trust verification
  • Combines trust scoring with micropayment support in one tool
  • Free tier allows cost-free experimentation

Cons

  • Zero community traction with no GitHub stars
  • Limited evidence of production usage or documentation depth
  • Dependency on MCP ecosystem and custom tooling

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Uses Ed25519 for strong cryptographic trust verification
  • Combines trust scoring with micropayment support in one tool
  • Free tier allows cost-free experimentation

Cons

  • Zero community traction with no GitHub stars
  • Limited evidence of production usage or documentation depth
  • Dependency on MCP ecosystem and custom tooling