> For the complete documentation index, see [llms.txt](https://docs.seda.xyz/home/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.seda.xyz/home/token-overview/seda-token-utility/seda-growth-engine-explained.md).

# SEDA Growth Engine Explained

Overview of SEDA’s growth engine, where ecosystem expansion increases Oracle Programs, data requests, and computational activity, activating deterministic token burns through network usage.

SEDA’s ecosystem expansion increases the “surface area” that contributes to network usage and associated token burn.

Each new integration to the network introduces:

* Additional Oracle Programs
* New market types
* Higher request frequency
* Greater computational density

As SEDA’s programmable oracle logic continues to unlock more complex use cases — 24/7 equity perpetual markets, complex structured products, new prediction markets, dynamic liquidation models —more builders migrate to the network adding to the number of data requests executed.

Usage compounds, and compounded usage compounds burn. The more SEDA becomes the baseline oracle infrastructure for onchain markets, the more its token mechanics activate.

**Explore current use cases on SEDA:**

{% content-ref url="/pages/oNWRsVKZOE5pgRd9mOVI" %}
[Dreamcash | 24/7 Equity Perpetual Markets Using Session-Aware Oracle Infrastructure](/home/learn/bespoke-pricing-methodologies/dreamcash-or-24-7-equity-perpetual-markets-using-session-aware-oracle-infrastructure.md)
{% endcontent-ref %}

{% content-ref url="/pages/a24wXbwrZnuNKJjfERyZ" %}
[Injective | 24/5 US Equities Using Session-Aware Oracle Programs](/home/learn/bespoke-pricing-methodologies/injective-or-24-5-us-equities-using-session-aware-oracle-programs.md)
{% endcontent-ref %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

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

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.seda.xyz/home/token-overview/seda-token-utility/seda-growth-engine-explained.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
