> For the complete documentation index, see [llms.txt](https://whitepaper.axieinfinity.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.axieinfinity.com/axs/allocations-and-unlock/private-sale.md).

# Private Sale

{% tabs %}
{% tab title="Overview" %}

| Token Amount | % of total supply | Unlock schedule        |
| ------------ | ----------------- | ---------------------- |
| 10,800,000   | 4%                | Quarterly over 2 years |
| {% endtab %} |                   |                        |

{% tab title="Detailed unlock schedule" %}

| Date          | Tokens unlocked |
| ------------- | --------------- |
| Day 0         | 2,160,000       |
| Month 3       | 0               |
| Month 6       | 2,160,000       |
| Month 9       | 0               |
| Month 12      | 2,160,000       |
| Month 15      | 0               |
| Month 18      | 2,160,000       |
| Month 21      | 0               |
| Month 24      | 2,160,000       |
| {% endtab %}  |                 |
| {% endtabs %} |                 |

Axie Infinity raised $864,000 in a private sale of AXS to strategic investors in the middle of 2020. These investors purchased AXS at a 20% discount.

20% of the private sale tokens will be unlocked during the AXS public sale. The rest of the private sale tokens will be unlocked quarterly over the next 2 years.


---

# 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://whitepaper.axieinfinity.com/axs/allocations-and-unlock/private-sale.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.
