# Get ranked

***

<table data-view="cards"><thead><tr><th></th></tr></thead><tbody><tr><td><strong>🖱️</strong><a href="/pages/QXq8d82VSEVEIOwz72Yr"><strong>Here to Stake, not Earn</strong></a><strong>?</strong></td></tr><tr><td>🖱️<a href="/pages/6QWbd9O1SorL8c0w9rLZ"><strong>Staked Ranks</strong></a></td></tr></tbody></table>

***

### **Want access? Start climbing.**

You don’t need to **stake** to get a [**Lunam Rank**](/adlunam-inc.-whitepaper/core-mechanisms/lunam-ranks.md).\
You can earn it—by showing up and putting in real activity on [**AdLunam Social**](/adlunam-inc.-whitepaper/adlunam-social/what-is-adlunam-social.md).

Every post, quest, badge, and reply stacks [**Lunam Points**](/adlunam-inc.-whitepaper/adlunam-social/get-ranked/lunam-points.md).\
Those points push you up the rank ladder.

<div data-full-width="false"><figure><img src="/files/aYdlzPD6pNv9ZQ14lKt6" alt=""><figcaption><p>Quests on AdLunam Social scores you Lunam Points. More points = more access.</p></figcaption></figure></div>

Ranks unlock perks across the [**ecosystem**](/adlunam-inc.-whitepaper/core-mechanisms/adlunam-ecosystem.md)—\
from [IDO access](/adlunam-inc.-whitepaper/rewards/ido-allocations.md) to [campaign visibility](/adlunam-inc.-whitepaper/rewards/partner-campaigns.md) to [trading rewards](/adlunam-inc.-whitepaper/rewards/trading-perks.md).

And if you earn it, you show up on the [**leaderboard**](/adlunam-inc.-whitepaper/adlunam-social/get-ranked/lunam-leaderboards.md).\
(*That’s where projects and partners start watching*.)

***

#### →  [**Learn how to earn Lunam Points**](/adlunam-inc.-whitepaper/adlunam-social/get-ranked/lunam-points.md)


---

# 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://adlunam-inc.gitbook.io/adlunam-inc.-whitepaper/adlunam-social/get-ranked.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.