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JhiNResH/maiat-protocol

by Various

The trust layer for agentic commerce. Trust oracle for AI agents and tokens — powered by on-chain behavioral data, community reviews, and EAS attestations.

J

MCP

JhiNResH/maiat-protocol

Added 1 June 2026

Overview

A trust oracle protocol that aggregates on-chain behavioral data, community reviews, and EAS attestations to establish verifiable trust for AI agents and tokens in agentic commerce. It provides a decentralized trust layer that enables agents to assess counterparty reliability before transactions.

Best for

Best for
Developers experimenting with trust mechanisms for AI agents in decentralized commerce

Use cases

  • Verifying agent reputations before autonomous commerce transactions
  • Building trust-based access controls for tokenized AI services
  • Integrating on-chain attestations into agent decision-making workflows

Notes

A trust oracle protocol that aggregates on-chain behavioral data, community reviews, and EAS attestations to establish verifiable trust for AI agents and tokens in agentic commerce. It provides a decentralized trust layer that enables agents to assess counterparty reliability before transactions.

2 stars on GitHub. Last updated 2026-04-06. Licensed MIT.

Use cases

  • Verifying agent reputations before autonomous commerce transactions
  • Building trust-based access controls for tokenized AI services
  • Integrating on-chain attestations into agent decision-making workflows

Pros

  • Leverages on-chain data and EAS for tamper-evident trust records
  • Combines behavioral analytics with community feedback for richer reputation
  • Open-source TypeScript implementation for easy integration

Cons

  • Very early stage with only 2 GitHub stars and minimal community adoption
  • Relies on Ethereum Attestation Service, limiting cross-chain portability
  • Requires substantial integration effort to become practically usable

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

Pros

  • Leverages on-chain data and EAS for tamper-evident trust records
  • Combines behavioral analytics with community feedback for richer reputation
  • Open-source TypeScript implementation for easy integration

Cons

  • Very early stage with only 2 GitHub stars and minimal community adoption
  • Relies on Ethereum Attestation Service, limiting cross-chain portability
  • Requires substantial integration effort to become practically usable