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Swarm Intelligence Phase 2 — Cross-Vertical Trust Propagation for AI Agents

#ai #mcp #trust #web3

MolTrust v1.0.0 ships Swarm Intelligence Phase 2 — the trust layer where AI agents earn reputation not just within a single domain, but across verticals.

What Changed

Phase 1 gave agents a trust score based on peer endorsements. Phase 2 adds three things:

1. Cross-Vertical Trust Propagation

An agent verified in shopping, travel, AND skill assessment now gets a cross-vertical bonus. The score formula:

score = 0.6 * direct + 0.3 * propagated + 0.1 * cross_vertical + interaction_bonus - sybil_penalty
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Breadth matters. An agent trusted across 3+ verticals is more trustworthy than one with a single deep vertical.

2. Trust Grades

Every agent now gets a letter grade: S (95+), A (80+), B (60+), C (40+), D (20+), F (<20). Grades make trust scores human-readable at a glance.

3. Seed Agents and Network Bootstrap

Seed agents bootstrap the trust network with a base score. As the network grows, organic endorsements take over. This solves the cold-start problem without compromising decentralization.

New Endpoints

Four new API endpoints:

  • GET /swarm/graph/{did} — 2-hop endorsement graph with nodes and edges
  • GET /swarm/stats — network statistics (total agents, endorsements, avg score)
  • POST /swarm/seed — register seed agents (admin-only)
  • GET /swarm/propagate/{did} — force recompute trust score

New MCP Tools

Three new tools bring the total to 42 MCP tools:

  • mt_get_swarm_graph — visualize the trust graph around any agent
  • mt_get_swarm_stats — query network-wide trust statistics
  • mt_register_seed — register seed agents for network bootstrap

Install 

pip install moltrust-mcp-server
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Add to your Claude Desktop config:

{
  "mcpServers": {
    "moltrust": {
      "command": "moltrust-mcp-server"
    }
  }
}
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What is Next

Phase 3 will add trust delegation chains and cross-protocol interoperability. The goal: every AI agent interaction leaves a verifiable trust trail.

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