# ai.dimetrics/dimetrics

> Use this tool when you need to analyze high-performance computing (HPC) lease economics, datacenter power usage, and debt linkage to inform strategic decisions for miners and cloud providers. It solves problems related to optimizing resource allocation, managing risk, and predicting costs in complex computing environments. The tool takes in data on leasing terms, power consumption, and market conditions, and outputs insights on cost-effectiveness, risk exposure, and investment opportunities.

Canonical page: https://skillsregistry.net/skills/ai-dimetrics-dimetrics  
JSON: https://api.skillsregistry.net/v1/skills/ai-dimetrics-dimetrics

## Description

HPC lease economics, datacenter power, debt linkage, and political risk for miners and neoclouds.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dimetrics%2Fdimetrics)

## Use it

MCP endpoint published by the skill: `https://www.dimetrics.ai/api/mcp`

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": "ai-dimetrics-dimetrics"
    }
  }
}
```

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