# news-sentiment-api

> news-sentiment-api — trendsapi-ai-news-sentiment-api. Use this tool when you need to analyze the sentiment or tone of news articles, solving problems such as monitoring public opinion or tracking market trends. It takes in news data as input and outputs a sentiment series, providing valuable insights through its interface with the Trends API. Ideal for use cases requiring emotional tone analysis of news content, such as market research or social media monitoring.

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

## Description

News sentiment / tone series via Trends API.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/trendsapi-ai/news-sentiment-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-news-sentiment-api"
    }
  }
}
```

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