# frontdesk-review

> frontdesk-review — alexanddunk-frontdesk-data. Use this tool when you need to access comprehensive and reliable product information, including prices, specs, and test coverage, to inform purchasing decisions or provide accurate data to users. It solves problems of data inconsistency and uncertainty by providing sourced and dated information, with unknown values clearly indicated as null. Ideal for use cases requiring trustworthy and verifiable product data, such as market research, product comparisons, or customer support.

Canonical page: https://skillsregistry.net/skills/alexanddunk-frontdesk-data  
JSON: https://api.skillsregistry.net/v1/skills/alexanddunk-frontdesk-data

## Description

Sourced product prices, dated price history, specs and independent-test coverage across 4,764 hardware products and 2,064 software vendors — every figure returned with its source URL and the date it was captured. Unknown values come back as null rather than a guess, so an agent can cite what it surfaces.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zy99emtsi7)
- **Repository:** <https://github.com/AlexandDunk/frontdesk-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": "alexanddunk-frontdesk-data"
    }
  }
}
```

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