Trends
Topics that group related signals, from weak signals to mega trends.
Example trends
2018202220263 yrs
Trendtracker API & MCP
Power your workflows with Trendtracker intelligence
Embed trends, weak signals, indicators and proof points in your dashboards, BI platforms, internal software and AI assistants, through our API or MCP server.
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Documents analysed
Updated Oct 2026
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Trends monitored
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Sources monitored globally
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Quantitative indicators
Measure momentum, not just mentions
Each indicator counts a different type of signal over time. When several rise together for the same topic, that is a stronger early signal than a single spike in news.
Coverage
Broad trend coverage across six dimensions
Two ways in
One data layer, two ways to connect
Use MCP when your team wants answers inside an AI assistant. Use the API when you're building something of your own. Buy either one on its own or add it to your Trendtracker plan.
MCP
Ask in your AI assistant
Connect Claude, ChatGPT, Copilot or any MCP-compatible assistant, and your team can ask Trendtracker data questions in plain language.
API
Build on the data
Pull Trendtracker data into your own dashboards, BI tools, models and agents. Your data team decides what to build and how often it refreshes.
Buy either one on its own or add it to your Trendtracker plan.
Knowledge graph
Trends, events and organizations in one living network
Every trend is linked to the evidence behind it, the organizations driving it and the industries it reaches. It's the same data that powers the Trendtracker platform, and it updates as new sources are scanned.
Illustrative example with sample entities. The animation shows how links form and flow between nodes, not live data.
Why Trendtracker
Expert-curated context and evidence beyond the reach of generic AI
General-purpose models answer from whatever they absorbed in training. Trendtracker grounds your models and agents in data curated by experts, kept under human oversight, and connected to the sources behind every finding.
01
Expert-curated sources
Our experts decide which sources make the cut: patent offices, research publishers, news outlets, companies and consultancies. AI scans what they publish, from patents and papers to earnings calls and consulting reports, under human oversight.
02
Organizations, not keywords
Organizations are linked to unique identifiers from authoritative knowledge bases (GLEIF, Wikidata, ROR). Each one is recognized under every name it goes by, and its investments, acquisitions and partnerships are tracked as connections, not just mentions.
03
Events backed by multiple sources
Product launches, partnerships and deals can be limited to those reported by multiple independent sources, so a single press release doesn't become a trend.
04
Every claim traceable
Every signal links back to the documents it originates from, so your team can cite the evidence behind each finding, all the way to the board deck.
Ask in your AI assistant
Questions your team can ask through MCP
A few questions teams ask, grouped by workflow. Every answer comes back with its sources, inside the assistant your team already works in. Or ask your own, in plain language, about any trend, company or industry in the data.
Weak signal detection
Which topics in hydrogen aviation are rising in research and patents but haven't reached the news yet?
Explore Discover -->
Emerging risk sensing
Which new risks are AI agents and generative AI creating for insurers, and which have gained momentum in the last six months?
More on risk management -->
Opportunity framing
Where are investments, launches and partnerships clustering in alternative proteins, and which companies are behind them?
More on trend analysis -->
Strategic planning
Which converging trends in our industry should shape our next three-year strategy cycle, and how strong is the evidence behind each?
See Strategy Brief -->
Scenario planning
What are the two biggest uncertainties around AI in the workforce, and which four scenarios emerge if we cross them over the next five years?
More on strategic foresight -->
Technology scouting
Which companies filed the most solid-state battery patents in Europe over the last two years, and who has invested in them?
More on technology scouting -->
What teams build on the API
From raw indicators to decisions
Build a live trend dashboard
Detect early momentum
Draft strategic briefs
Track who is betting where
Create proxy metrics
Embed in your own products
Agent workflows
Run your own agents on Trendtracker data
Teams that build their own agents use an orchestrator to route each step of a workflow to an agent made for it. Every agent works from the same sourced data, so the output is always traceable.
Design
Map each workflow step to an agent role, decide where people review, and set the inputs and outputs for each step.
Vet
Check each agent against your sources, scoring rules and evidence standards before it joins the workflow.
Run and govern
Add review gates and audit trails, so every output can be traced back to its evidence.
Need clarity?
You’re in the right place.
Does Trendtracker have an MCP server?
Yes. Trendtracker's MCP server connects any MCP-compatible AI assistant, including Claude, ChatGPT, Microsoft Copilot and agent frameworks your team builds itself, to Trendtracker's trends, weak signals, indicators and proof points.
Can I buy API or MCP access without a Trendtracker platform subscription?
Yes. Either can be bought on its own, or added to a Trendtracker plan.
Is it the same data as the Trendtracker platform?
Yes. The API and MCP draw on the same sources, trends and evidence as the platform. Only the way you access it changes.
How do I get access?
Book a meeting with our team. We'll walk through your use case and set up access for your organization.
Can my technical team review the data model before we commit?
Yes. Book a meeting and we'll walk your technical team through the data model, the integration options and what the API and MCP return for your use case.