Structured outputs
Cleaner fields, less guesswork, and easier downstream reasoning.
Product
PolyLens is an MCP (Model Context Protocol) server designed to provide deep analytical insights into major global events by leveraging the collective intelligence of prediction markets. It surfaces trending topics and turns market probabilities into structured, analysis-ready context.
Core capabilities
Everything is built around clarity: what is happening, what the market implies, and why.
Trending global events
Pull a concise list of high-signal events (e.g., top trending by volume) so you start with what matters most right now.
- Event snapshot: title, category, volume, time window
- Top markets per event with outcomes and implied percentages
- Designed to be “brief-ready” for humans and assistants
Scenario exploration
Transform probabilities into narratives: what could happen, what each outcome implies, and what to monitor as odds move.
- Compare alternative outcomes without overcommitting to one story
- Highlight second-order effects and uncertainty
- Support research workflows with structured prompts and summaries
Built for MCP-native workflows
PolyLens is meant to plug into assistants and agentic systems. Instead of “raw market data,” it prioritizes readable structure and stable semantics.
Stable semantics
Consistent naming and formatting so agents can rely on it.
Guardrails
Clear framing to keep analysis grounded in uncertainty and sourcing.
Fast iterations
A focused surface area that can evolve without breaking the workflow.
Responsible by design
PolyLens aims to elevate signal, but it does not claim certainty.
Probability is not destiny
Market-implied probabilities reflect participants, incentives, and available information at a moment in time. Use PolyLens to reason about uncertainty—then verify with independent sources.
Want to integrate PolyLens?
Tell us what you’re building and we’ll help you find the right shape of integration.