Overview
Polyseer is an open-source research platform designed to generate systematic, evidence-based analysis for prediction markets. It uses a multi-agent architecture where different agents specialize in different data sources and analysis methods, then aggregates their outputs using Bayesian probability to produce confidence-weighted forecasts.
For agent builders, Polyseer serves as a ready-made Layer 4 intelligence module. Rather than building your own analysis pipeline from scratch, you can use Polyseer’s multi-agent system to evaluate markets and feed the results into your trading logic.
Key Features
Multi-agent analysis — Separate agents handle different data sources (news, social media, historical patterns, expert forecasts). Results are aggregated rather than relying on a single model.
Bayesian probability aggregation — Combines outputs from multiple agents using Bayesian methods to produce probability estimates with mathematical confidence scores.
Cross-platform support — Analyzes markets on both Polymarket and Kalshi, making it useful for cross-platform arbitrage detection.
Report generation — Produces comprehensive analysis reports for individual markets, including probability estimates, confidence intervals, and key factors.
Open source — Fully open source, allowing customization and extension for specific use cases.
Agent-Friendliness
| Aspect | Rating |
|---|---|
| Output format | Structured reports with probability scores |
| Integration | Can be used as a module in larger agent systems |
| Customization | High — open source, extend with custom agents |
| Data sources | Multiple — news, social, historical, expert |
| License | Open source |
Pricing
Free and open source. Requires LLM API costs for analysis operations.
Best For
Agents that need a sophisticated analysis layer without building one from scratch. Particularly strong for agents that need mathematical confidence scores to size their bets (Kelly criterion, etc.).