# Naver DataLab

> Use this tool when you need to analyze Korean search and shopping trends, as it provides relative search-volume curves and shopping-click trends by category, age, gender, and device. It solves problems related to market research, consumer behavior, and trend analysis, allowing users to make informed decisions. The tool takes in keyword groups and date ranges as inputs and outputs visualizable trend data.

Canonical page: https://skillsregistry.net/skills/naver-datalab  
JSON: https://api.skillsregistry.net/v1/skills/naver-datalab

## Description

Korean search and shopping trend data from Naver DataLab. Pull relative search-volume curves for up to 5 keyword groups over a date range, or shopping-click trends by category, age, gender, and device.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/naver/datalab)

## 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": "naver-datalab"
    }
  }
}
```

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