Earnings surprises are rarely surprises to the data. Consumer search demand, web traffic growth, and news sentiment shifts often telegraph the quarter 4-8 weeks before the report. Trends MCP gives your AI all of those signals in a single query - so you can walk into earnings with a view built on live data.
Tools for this workflow
get_trendsPlot branded search and web traffic against earnings dates - visualize whether consumer attention was accelerating or decelerating in the weeks leading up to each quarterly result.
get_trends(keyword='apple', source='google search', data_mode='daily')
get_growthRun a pre-earnings signal check: pull web traffic, branded search, Amazon product demand, and news sentiment growth for any company in one query to build your alternative data view before the print.
get_growth(keyword='apple', source='webtraffic, google search, amazon, news sentiment', percent_growth=['1M', '3M'])
get_ranked_trendsFilter companies by upcoming earnings dates and rank by consumer attention momentum - find which names have the strongest or weakest alternative data signals heading into results.
get_ranked_trends(entity_mode='companySingle', earnings_enabled=True, sort='mom_pct_change', limit=30)
get_top_trendsMonitor news and Reddit in real time during earnings season for breaking commentary and analyst reactions that surface before formal sell-side notes hit the wire.
get_top_trends(type='Google News RSS', limit=20)
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