News sentiment scores assistants can plot over time

Coverage volume alone hides whether articles lean positive or negative. Source news sentiment returns scored series so assistants describe how editorial tone shifted during a launch, lawsuit, or policy fight.

Tone is a separate axis from attention

Executives ask both "how loud" and "how harsh." Trends MCP answers the second through source: "news sentiment" in the Data Sources table.

Responsible summarization

Assistants should note that sentiment models summarize press tone, not customer love scores. Combine with first-party surveys when decisions depend on buyer attitude.

Related pages

News sentiment data. Volume counterpart: News volume for assistants. Hub: MCP trend tools for assistants.

get_trends

Show how editorial tone trended across months for a tracked entity.

get_trends(keyword='northwind energy', source='news sentiment', data_mode='weekly')

get_growth

Measure sentiment shift between two periods for earnings or crisis postmortems.

get_growth(keyword='northwind energy', source='news sentiment', percent_growth=['30D', '3M', '12M'])

get_ranked_trends

Highlight topics where sentiment is swinging fastest when analysts scan markets.

get_ranked_trends(source='news sentiment', sort='wow_pct_change', limit=20)

get_top_trends

Ground live headline context with Google News Top News while discussing sentiment shifts.

get_top_trends(type='Google News Top News', limit=15)

Common questions

news sentiment with a space, per trendsmcp.ai/docs.
Any keyword or phrase the docs list for this source: brands, executives, products, and policy topics as they appear in headlines.
Pair sentiment with news volume or Google News trends when possible so readers see whether tone moved on thin coverage or during a sustained storm.
Use the API's direction labels and numeric changes from get_growth results; avoid inventing qualitative labels the payload does not support.
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