# TrendsAPI-py

> TrendsAPI-py — trendsapi-ai-trendsapi-py. Use this tool when you need to access trend data and insights, solving problems such as market research and analysis, with input parameters like keywords and topics, and outputting relevant trend information. It provides a Python interface to the Trends API, allowing for easy integration into projects. Use TrendsAPI-py in data analysis and machine learning contexts to stay informed about current trends.

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

## Description

Official Python client for Trends API (pip install trendsapi).

## Trust

- **Trust score (0–1):** 0.96
- **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/TrendsAPI-py)

## 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-trendsapi-py"
    }
  }
}
```

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