# ZARQ Crypto Risk Intelligence

> Use this tool when you need to assess and mitigate cryptocurrency investment risks through data-driven insights and independent risk ratings. It solves problems related to crypto investment decision-making, portfolio risk management, and pre-trade safety checks by providing trust score ratings, distance-to-default analysis, and structural collapse warnings. With a free, open API and daily updates on 198 tokens, it offers a robust interface for bulk ratings, comparisons, and distress monitoring.

Canonical page: https://skillsregistry.net/skills/zarq-crypto  
JSON: https://api.skillsregistry.net/v1/skills/zarq-crypto

## Description

Delivers independent crypto risk intelligence through trust score ratings, distance-to-default analysis, structural collapse warnings, and pre-trade safety checks. Covers 198 tokens with daily updates and supports bulk ratings, head-to-head comparisons, and distress monitoring. Backed by the ZARQ platform at zarq.ai with a free, open API requiring no authentication.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zarq-crypto)
- **Repository:** <https://github.com/zarq-ai/zarq-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zarq-crypto"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zarq-crypto` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zarq-crypto/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt