> For the complete documentation index, see [llms.txt](https://ca-docs.adster.tech/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ca-docs.adster.tech/custom-adapter-integration/unity-ios/applovin/rewarded.md).

# Rewarded

**ADDING YIELD PARTNER**

1. Open [MAX > Mediation > Manage > Ad Units](https://dash.applovin.com/o/mediation/ad_units/) in the MAX dashboard.
2. Select the Ad Unit of type **Rewarded** to which you want to add **ADSTER.TECH** as a custom adapter.
3. Select **ADSTER.TECH** from custom network menu to **Enable** and enter the information for each placement.&#x20;

   ```json
   Example:
   App ID = Leave it blank (its optional)
   Placement ID = "adster_rewarded_10"
   eCPM: 10 (in USD)
   Custom Parameters = {"placement_id":"rewarded","yield_group_bid_price_range":"10.0-10.0"}
   ```
4. Contact your account manager to see what values you need to set for the **final list of production setup (Placement ID**, **Custom Parameters** and **CPM Price)**.

   <figure><img src="/files/rZAoRD5KYJN21bemFNyd" alt=""><figcaption></figcaption></figure>
5. Click on “**Save**” and save the configuration.

The above setup completes our **Adster.Tech x Applovin** integration for **Rewarded Ads**. You should see an Ad like this if test setup is complete and working fine.

<figure><img src="/files/Uy3WxbYUlVk884wCzNEh" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
Please note that updates to Ad Units may take approximately 30 to 60 minutes to reflect across the system.
{% endhint %}


---

# 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, and the optional `goal` query parameter:

```
GET https://ca-docs.adster.tech/custom-adapter-integration/unity-ios/applovin/rewarded.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
