> For the complete documentation index, see [llms.txt](https://docs.tetreum.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tetreum.com/token-and-governance/tokenomics/token-sale/sale-rounds.md).

# Sale Rounds

The source divides the token sale into five stages.

## Stage breakdown

| Stage | Token price |     Allocation | Amount raised |
| ----- | ----------: | -------------: | ------------: |
| S1    |     $0.0034 | 40,000,000 TET |      $136,000 |
| S2    |     $0.0051 | 40,000,000 TET |      $204,000 |
| S3    |     $0.0072 | 40,000,000 TET |      $288,000 |
| S4    |     $0.0098 | 40,000,000 TET |      $392,000 |
| S5    |     $0.0130 | 40,000,000 TET |      $520,000 |

## Maximum raise

If all five stages are fully subscribed, the total raise is described as:

**$1,540,000**

## Intended goals of the staged model

* Encourage early participation
* Support predictable fundraising
* Maintain a clear pricing path
* Align contributor interest with network development milestones

## Planned use of proceeds

Capital raised is expected to support:

* Core protocol and infrastructure development
* Validator and network expansion
* Exchange and liquidity preparation
* Ecosystem partnerships
* Marketing and community growth
* Security, research, and operations


---

# 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 dynamically by asking a question.

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

```
GET https://docs.tetreum.com/token-and-governance/tokenomics/token-sale/sale-rounds.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.