# Yala

Yala is evolving into an AI-native fair-value agent designed to provide reliable probability signals for prediction markets worldwide.

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Prediction markets are increasingly important mechanisms for pricing information and uncertainty, but they currently lack a systematic, high-accuracy fair-value reference. Yala addresses this gap by developing AI agents capable of generating calibrated, verifiable probability estimates that can serve as fair-value signals across prediction markets. Yala is not designed as a primary alpha engine for spot or perpetual trading, where trend-following signals typically dominate over probabilistic pricing.

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This documentation explains Yala’s core concepts, roadmap, and technical architecture as defined in the Yala 2.0 roadmap. While the application is not yet live, the documentation reflects the intended system design and staged development plan.

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.yala.org/prediction-market-intelligence/yala.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.