# Analog

> Use this tool when you need to access and analyze real-time geographic sensor data from various global locations to monitor environmental or behavioral attributes. It solves problems related to tracking and managing distributed physical assets by providing instant visibility into their performance metrics. The tool takes in structured queries as input and outputs real-time data and analytics, making it ideal for use cases that require up-to-the-minute insights into global sensor data.

Canonical page: https://skillsregistry.net/skills/analog-live-data  
JSON: https://api.skillsregistry.net/v1/skills/analog-live-data

## Description

Access and analyze real-time geographic sensor data across various global locations. Identify specific data sources and monitor environmental or behavioral attributes through structured queries. Gain instant visibility into distributed physical assets and their performance metrics.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/analog/live-data)

## 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": "analog-live-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/analog-live-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/analog-live-data/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