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nerq trust engine

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sseMITupdated 6mo ago

Independent crypto risk intelligence via the Model Context Protocol (MCP). Trust Score ratings, Distance-to-Default analysis, structural collapse warnings, and pre-trade safety checks for 198 tokens.

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What can you do with nerq trust engine?

ZARQ Crypto Risk Intelligence — MCP Server

Smithery

Independent crypto risk intelligence via the Model Context Protocol (MCP). Trust Score ratings, Distance-to-Default analysis, structural collapse warnings, and pre-trade safety checks for 198 tokens.

Quick Start

Remote (SSE / Streamable HTTP)

No installation needed — connect directly:

{
  "mcpServers": {
    "zarq-crypto": {
      "url": "https://mcp.zarq.ai/mcp"
    }
  }
}

Local (stdio)

pip install mcp httpx
python zarq_mcp_server.py

Tools (8)

Tool Description
crypto_safety_check Quick pre-trade safety validation (<100ms)
crypto_rating Full Trust Score with 5-pillar breakdown (A+ to F)
crypto_dtd Distance-to-Default with 7 distress signals
crypto_signals Active Structural Collapse/Stress signals
crypto_compare Head-to-head token risk comparison
crypto_distress_watch All tokens with DtD < 2.0
crypto_alerts Structural collapse/stress warnings
crypto_ratings_bulk Bulk ratings for multiple tokens

Performance

  • 100% death recall — every token collapse detected (out-of-sample)
  • 98% precision — only 1 genuine false positive in OOS validation
  • 198 tokens rated with daily updates
  • <100ms response time for safety checks

Architecture

Client (Claude, Cursor, etc.)
    ↓ MCP Protocol
ZARQ MCP Server
    ↓ HTTPS
zarq.ai API (free, no key required)

API

Free API at zarq.ai. No API key required during Early Access.

Tags

crypto risk defi safety trust-score crash-prediction distance-to-default ratings blockchain token-analysis

License

MIT