News article mention volume trends for any topic. Free key at trendsapi.ai
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News trend data as clean JSON: article mention volume time series for any topic, growth rates and the live top-news feed from one REST endpoint. No media-monitoring subscription, no per-seat pricing.
One endpoint. One API key. One normalized 0-100 trend score you can compare against 14 other platforms.
Docs: https://trendsapi.ai/#quickstart Β· llms.txt: https://trendsapi.ai/llms.txt Β· Free API key (100 req/mo): https://trendsapi.ai/#get-key
1. Get a free API key at https://trendsapi.ai/#get-key - 100 requests/month, no credit card.
2. Make your first call:
Python:
Node.js:
| Mode | What it returns | Needs a keyword? |
|---|---|---|
get_time_series | Historical article mention volume as a normalized 0-100 series | yes |
get_growth | Growth % over 3M / 6M / 12M / 5Y windows | yes |
get_top_trends | Live trending feeds (21 of them) | no |
| Legacy media monitoring | Trends API | |
|---|---|---|
| Pricing model | per-seat enterprise contracts | usage-based, self-serve |
| Historical volume | often metered extra | included to plan limit |
| Setup | sales call | 60 seconds |
| Cross-signal compare | news only | same scale as search, social, shopping |
| Free tier | trial only | 100 requests/month, no card |
The same API key powers the Trends API MCP server, so Claude, Cursor, VS Code, ChatGPT and any MCP-compatible client can query this data in natural language.
Cursor / Windsurf / Cline (~/.cursor/mcp.json or equivalent):
VS Code / GitHub Copilot (.vscode/mcp.json):
Claude Desktop (claude_desktop_config.json):
Claude.ai (browser): Settings -> Connectors -> Add custom connector -> https://api.trendsapi.ai/mcp
Then ask things like:
| Source | source value | What it measures |
|---|---|---|
| Google Search | google search | Search volume |
| Google Images | google images | Image search volume |
| Google News | google news | News search volume |
| Google Shopping | google shopping | Shopping search volume |
| YouTube | youtube | Search volume |
| TikTok | tiktok | Hashtag volume |
reddit | Subreddit subscribers | |
| Amazon | amazon | Product search volume |
| Wikipedia | wikipedia | Page views |
| News volume | news volume | Article mention volume |
| News sentiment | news sentiment | Positive / negative score |
| App downloads | app downloads | Android downloads (AppBrain) |
| App rankings | app rankings | Android chart position |
| npm | npm | Weekly package downloads |
| Steam | steam | Concurrent players (monthly) |
get_top_trends, no keyword needed)| Feed | type value |
|---|---|
| Google Trends | Google Trends |
| Google News Top News | Google News Top News |
| TikTok Trending Hashtags | TikTok Trending Hashtags |
| TikTok Trending Searches | TikTok Trending Searches |
| TikTok Shop Hot Products | TikTok Shop Hot Products |
| YouTube Trending | YouTube Trending |
| X (Twitter) Trending | X (Twitter) Trending |
| Reddit Hot Posts | Reddit Hot Posts |
| Reddit World News | Reddit World News |
| Wikipedia Trending | Wikipedia Trending |
| Amazon Best Sellers Top Rated | Amazon Best Sellers Top Rated |
| Amazon Best Sellers by Category | Amazon Best Sellers by Category |
| App Store Top Free | App Store Top Free |
| App Store Top Paid | App Store Top Paid |
| Google Play | Google Play |
| Top Websites | Top Websites |
| Spotify Top Podcasts | Spotify Top Podcasts |
| Steam Most Played | Steam Most Played |
| GitHub Trending Repos | GitHub Trending Repos |
| IMDb MOVIEmeter | IMDb MOVIEmeter |
| Open Library Trending Books | Open Library Trending Books |
Article mention volume for any topic as a normalized time series, growth percentages over 3M/6M/12M/5Y windows, and the live Google News Top News feed.
Each topic's series is rescaled against its own history to a 0-100 score, where 100 is the peak of the requested window. That makes news volume directly comparable to search interest or social buzz.
No. One Trends API key covers news volume, news sentiment and every other source.
Yes - use the news sentiment source for positive/negative scoring over time, or see the companion repo news-sentiment-api.
The top-news feed updates continuously; mention series are computed on demand. Every response includes a timestamp.
MIT - see LICENSE. Data is served by Trends API; usage of the API itself is subject to the plan limits on your key.
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