Pre-earnings alternative data signals via MCP

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.

get_trends

Plot 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_growth

Run 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_trends

Filter 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_trends

Monitor 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)

Common questions

Web traffic growth is the strongest leading indicator for digital-first businesses - consistent traffic gains in the 4-8 weeks before an earnings report often correlate with revenue beats. Google Search brand interest reflects consumer consideration. Amazon search volume signals purchase intent for consumer goods. News sentiment and volume can flag reputational risk or positive catalyst momentum ahead of guidance.
Web traffic and search demand trends are most informative when viewed over the 4-12 week window before an earnings date. Wikipedia page view spikes and news sentiment shifts are shorter-leading signals, often moving 1-7 days before an event. Trends MCP lets you query any time window so you can build a layered view across different lead times.
Yes. In one AI session you can pull signals for every company reporting that week, compare their web traffic trajectories and search demand growth, and identify which names have the most notable deviation from trend heading into their reports.
No - it complements them. Earnings estimate models use financial data and analyst guidance. Trends MCP provides the consumer-facing behavioral layer that shows what is actually happening with demand, attention, and sentiment in the weeks before a company reports. Together they give a more complete pre-earnings picture.
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