Trending topics tool for journalists

The best stories follow the momentum. Trends MCP gives journalists and newsrooms a live window into what is gaining traction across Google Search, Reddit, TikTok, YouTube, and News - before it becomes the obvious headline. Spot the story, validate the interest, and report with data.

Tools for this workflow

`get_trends`

Before pitching a story, chart whether the topic's search and news coverage is building or fading - data-back your editorial instincts with 5 years of consumer attention history.

get_trends(keyword='climate migration', source='google search', data_mode='weekly')

`get_growth`

Validate a story angle's timeliness: measure whether news volume, Google Search, Wikipedia page views, and Reddit discussion are all rising together - multi-platform alignment signals a story at peak public interest.

get_growth(keyword='climate migration', source='google search, news volume, wikipedia, reddit', percent_growth=['1M', '3M'])

`get_ranked_trends`

Discover the topics generating the fastest-growing news coverage right now - rank by news volume growth to find stories gaining media momentum before they reach saturation.

get_ranked_trends(source='news volume', sort='wow_pct_change', limit=25)

`get_top_trends`

Pull the live Google News RSS feed and Wikipedia trending articles simultaneously - surfaces the stories and topics capturing the most reader attention right now without any keyword needed.

get_top_trends(type='Google News RSS', limit=25)

FAQ

Common questions

How do journalists use trend data for story discovery?

Monitor get_top_trends daily across Google, Reddit, and TikTok to surface topics gaining rapid interest. A Reddit thread gaining 300% discussion volume is often a story 48 hours before mainstream outlets cover it. Trends MCP gives you that early signal.

Can I track whether a story is gaining or losing momentum?

Yes. Use get_growth for a topic with 1-week and 1-month comparisons to see whether interest is accelerating, stable, or fading. Useful for deciding whether to follow up on a story or move on.

Can I track news sentiment for a topic?

Yes. The News Sentiment source returns positive/negative/neutral scores alongside volume. Track whether coverage of a topic is becoming more negative over time - useful for spotting emerging controversies.

Is this useful for data journalism?

Yes. Trends MCP provides quantified trend signals that can be cited in data journalism pieces: 'Search interest in X grew 340% over the past three months', backed by cross-platform data.

get_trends

get_growth

get_ranked_trends

get_top_trends

Common questions

Start building with live trend data

`get_trends`

`get_growth`

`get_ranked_trends`

`get_top_trends`