Signal Layer Data Output

Signa's broader thesis is that prediction markets can produce useful probability data, not just trading venues.

Data flow

Market price -> probability signal -> downstream application

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AI Models, Financial Risk Control, DAO Governance

Why standardize market output?

Raw market prices are useful, but standardized probability data is easier to consume across systems. Signa's Signal Layer is intended to make those probabilities easier to aggregate, compare, and integrate.

Data characteristics

Feature	Signa Signal Layer	Ordinary Prediction Markets
Probability Consistency	Yes + No = 1 by design	Not always explicit
Real-time Updates	Market-driven updates	Often harder to aggregate cleanly
Interpretability	Direct probability framing	May require normalization
Composability	Suitable for APIs, indices, and models	Often remains siloed in the UI

Downstream use cases

• AI and analytics: event probabilities as structured features
• DeFi risk systems: market-implied stress signals or event probabilities
• DAO governance tooling: probability estimates around proposal outcomes
• Cross-market analysis: relative value and arbitrage research