# trendsapi

> trendsapi — trendsapi-ai-trendsapi. Use this tool when you need to retrieve real-time data from multiple sources, such as news and trends, through a simple HTTP POST request. It solves problems related to data aggregation and live feed integration, providing access to 15 sources and 21 live feeds across three modes. Ideal for applications requiring up-to-date information, this tool offers a streamlined interface for fetching and processing trending data.

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

## Description

HTTP contract for Trends API. One POST, three modes, 15 sources, 21 live feeds.

## 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/trendsapi)

## 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"
    }
  }
}
```

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