# Carbon & Cashmere Crypto Intelligence

> Use this tool when you need to make informed crypto trading decisions with real-time data and predictive analytics. It provides 52 MCP tools, including ML ensemble predictions, derivatives analytics, and on-chain metrics, to help solve problems related to portfolio risk and optimization. With support for micropayments on multiple blockchain platforms, it offers a flexible and secure interface for accessing crypto intelligence.

Canonical page: https://skillsregistry.net/skills/carboncashmere-cryptointelligence  
JSON: https://api.skillsregistry.net/v1/skills/carboncashmere-cryptointelligence

## Description

Professional crypto trading intelligence with 52 MCP tools. Real-time data from 4 own blockchain nodes (Bitcoin, Ethereum, Kaspa, Bittensor). ML ensemble predictions, derivatives analytics, on-chain metrics, and portfolio risk — all payable via x402 USDC micropayments on Base, Solana, Algorand, and Stellar.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-07-16

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/carboncashmere/cryptointelligence)

## 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": "carboncashmere-cryptointelligence"
    }
  }
}
```

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