How to Discover Emerging Trends with Copilot
Detect emerging TikTok trends in your IDE with Copilot and ToolRouter. Multi-signal analysis.
Tool
Copilot fetches multi-signal trend data from your IDE for building trend prediction into your analytics tools. Pull popular videos, songs, and creator data, and Copilot helps write the correlation analysis, signal scoring, and forecasting models that detect emerging trends before they peak.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
Steps
Once connected (see setup above), use the Trending Social Content tool:
- In Copilot Chat: "Fetch trending TikTok videos, songs, and creators for trend analysis"
- Copilot returns all three datasets for cross-reference analysis
- Ask: "Identify correlations between trending sounds and video formats"
Example Prompt
Try this with Copilot using the Trending Social Content tool
Get trending TikTok data -- popular videos, songs, and creators. Cross-reference them and return a structured analysis of emerging trend signals.
Tips
- Use multi-signal data to build trend prediction models in your analytics pipeline
- Track trend signals daily to build historical pattern data for forecasting