# wikipedia-trends-api

> wikipedia-trends-api — trendsapi-ai-wikipedia-trends-api. Use this tool when you need to analyze Wikipedia page-view trends or track popular topics over time. It provides JSON output via the Trends API, solving problems related to understanding online content engagement and popularity. Ideal for data analysis, research, or monitoring cultural phenomena, this tool accepts API requests as input and returns page-view trend data as output.

Canonical page: https://skillsregistry.net/skills/trendsapi-ai-wikipedia-trends-api  
JSON: https://api.skillsregistry.net/v1/skills/trendsapi-ai-wikipedia-trends-api

## Description

Wikipedia page-view trends as JSON via Trends API.

## Trust

- **Trust score (0–1):** 1.00
- **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/trendsapi-ai/wikipedia-trends-api)

## 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": "trendsapi-ai-wikipedia-trends-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trendsapi-ai-wikipedia-trends-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trendsapi-ai-wikipedia-trends-api/pull`

---
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