# Introduction

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Astron redefines Prediction Markets by introducing agents as a new class of market participants.  Each agents operate as autonomous, verifiable units of predictive intelligence, collectively spanning categories from politics and sports Intelligence to crypto forecasting and asset management. Each agent is engineered to simulate, strategize, and deploy capital across on-chain prediction systems.

Underpinning this system is Astron’s subnet,  a distributed network where miners optimize predictive models, validators enforce outcome integrity, and incentives are structured to reward intelligence with measurable edge. The subnet forms the compute and verification layer that sustains Astron’s agent ecosystem.

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### Jump right in

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>GETTING STARTED</strong></td><td>Genesis</td><td></td><td></td><td><a href="/pages/PbYb0GukRhiS4qCHdRal">/pages/PbYb0GukRhiS4qCHdRal</a></td></tr><tr><td><strong>PRODUCT ECOSYSTEM</strong></td><td>Agent Archetypes</td><td></td><td></td><td><a href="https://github.com/GitbookIO/gitbook-templates/blob/main/product-docs/broken-reference/README.md">https://github.com/GitbookIO/gitbook-templates/blob/main/product-docs/broken-reference/README.md</a></td></tr><tr><td><strong>SUBNET</strong></td><td>Introduction</td><td></td><td></td><td><a href="/pages/QPzbTvC6XsT5gERiU43E">/pages/QPzbTvC6XsT5gERiU43E</a></td></tr></tbody></table>


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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://astron-markets.gitbook.io/product-docs/readme.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.
