# AI API Radar

> Use this tool when you need to monitor and compare live pricing and status of Large Language Model (LLM) APIs across multiple providers. It solves problems of API cost optimization, provider selection, and model performance tracking, providing historical price data for informed decisions. The AI API Radar takes in provider and model inputs and outputs live price and status updates, making it ideal for use cases involving API budgeting and provider evaluation.

Canonical page: https://skillsregistry.net/skills/com-dropwatchhq-ai-api-radar  
JSON: https://api.skillsregistry.net/v1/skills/com-dropwatchhq-ai-api-radar

## Description

Live LLM API price + status radar across 11 providers, with public per-model price HISTORY.

## Trust

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

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.dropwatchhq%2Fai-api-radar)

## Use it

MCP endpoint published by the skill: `https://aiapi.dropwatchhq.com/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": "com-dropwatchhq-ai-api-radar"
    }
  }
}
```

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