Coverage intensity answers whether the press is piling onto a story or moving on. Source news volume returns structured series so assistants describe attention cycles with dates attached, separate from sentiment or Google News search clicks.
A brand can be heavily covered yet skew negative, or lightly covered with glowing pieces. Trends MCP splits those axes: news volume for intensity, news sentiment for tone, both defined in Data Sources.
Start from the user's entity string, call get_growth with 14D and 30D presets for fast-moving issues, then widen to 12M for structural shifts. Cite baseline and recent dates returned in the JSON when writing executive summaries.
News volume data, News sentiment data. Hub: MCP trend tools for assistants.
Tools for this workflow
get_trendsPlot how media attention to a brand moved across quarters.
get_trends(keyword='acme robotics', source='news volume', data_mode='weekly')
get_growthQuantify whether coverage is accelerating after an event or fading after a peak.
get_growth(keyword='acme robotics', source='news volume', percent_growth=['14D', '30D', '3M', '12M'])
get_ranked_trendsSurface entities or topics with the fastest-growing mention volume.
get_ranked_trends(source='news volume', sort='wow_pct_change', limit=25)
get_top_trendsPair live headline leaders with historical volume on a named topic.
get_top_trends(type='Google News Top News', limit=15)
FAQ