# Modelmeter

> Modelmeter — modelmeters-modelmeter. Use this tool when you need to track changes in AI model pricing, deprecations, and cost estimates to optimize resource allocation and budgeting. Modelmeter provides a machine-readable changelog of the AI stack, allowing agents to query and retrieve relevant information. It is ideal for use cases where AI model management and cost optimization are crucial, such as large-scale AI deployments and resource-intensive projects.

Canonical page: https://skillsregistry.net/skills/modelmeters-modelmeter  
JSON: https://api.skillsregistry.net/v1/skills/modelmeters-modelmeter

## Description

Enables AI agents to query model pricing, deprecations, and cost estimates via a machine-readable changelog of the AI stack.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p8a5d5ij91)
- **Repository:** <https://github.com/modelmeters/modelmeter>

## 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": "modelmeters-modelmeter"
    }
  }
}
```

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