> For the complete documentation index, see [llms.txt](https://docs.solodit.cyfrin.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.solodit.cyfrin.io/bounties-aggregator/rate-a-bounty.md).

# Rate a Bounty

### Rating System

You can rate any finding giving it from 1 to 5 stars. 

**Bounties rated by you, will show with the rating you've given.**

Bounties you haven't yet rated, will show a rating calculated based on the suggestions from the community. **Including whenever you'll rate yours!** 

#### How is the rating calculated?

The formula for the final rating of a Bounty is:

<figure><img src="/files/c8sHi9EPy9EAzyMxXUq7" alt=""><figcaption><p>Formula to Determine an Issue's Rating</p></figcaption></figure>

Where:

* $$User’s Scorei\_i$$ is the score of the i-th user.
* $$User’s  Suggested  Score\_i$$ is the suggested score by the i-th user for the Bounty.

**Example**:

Suppose we have two users:

* User A with a score of 2500 suggests a score of 2.
* User B with a score of 7000 suggests a score of 5.

The final score for the Bounty would be:

<figure><img src="/files/lm0kZRXxpDGg7L5uXYVc" alt=""><figcaption><p>Final Score Example</p></figcaption></figure>

**Simply put:** Ratings from users with higher scores have more weight in the final calculation of the score.


---

# 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.solodit.cyfrin.io/bounties-aggregator/rate-a-bounty.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.