# aipocket

> aipocket — naturalmoods-aipocket. Use this tool when you need to track your prepaid credit across multiple LLM API providers, solving the problem of manually monitoring balances and avoiding unexpected costs. It provides a simple interface to input your API credentials and outputs the remaining credit for each provider, supporting 19 different providers. Use aipocket in your development workflow to streamline cost management and optimize your API usage.

Canonical page: https://skillsregistry.net/skills/naturalmoods-aipocket  
JSON: https://api.skillsregistry.net/v1/skills/naturalmoods-aipocket

## Description

How much prepaid credit is left at each of your LLM API providers — one static Go binary, 19 providers, no stored keys.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/naturalmoods/aipocket)

## 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": "naturalmoods-aipocket"
    }
  }
}
```

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