# subnetaiq

> Use this tool when you need to analyze and deploy Bittensor subnets, as it provides mineability scores, automated deployment scripts, and tracking features for institutional and whale activities across 128 subnets through 18 API endpoints. It solves problems related to subnet optimization, deployment, and monitoring, offering a free tier for accessibility. Ideal for use cases requiring data-driven subnet management and optimization.

Canonical page: https://skillsregistry.net/skills/winstonfrankbot-subnetaiq-skill  
JSON: https://api.skillsregistry.net/v1/skills/winstonfrankbot-subnetaiq-skill

## Description

Bittensor subnet intelligence — mineability scores, 1-click deploy scripts, momentum scoring, whale flows,
institutional tracking for all 128 subnets. 18 API endpoints. Free tier.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hk06jyxrhq)
- **Repository:** <https://github.com/WinstonFrankBot/subnetaiq-skill>

## 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": "winstonfrankbot-subnetaiq-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/winstonfrankbot-subnetaiq-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/winstonfrankbot-subnetaiq-skill/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