# 6. Reputation System

HumanGrid AI uses a reputation system to measure contributor and validator quality.

Reputation may be affected by:

| Factor                | Description                                   |
| --------------------- | --------------------------------------------- |
| Accuracy              | How often the user submits correct work       |
| Consistency           | Stable performance over time                  |
| Validation History    | Quality of review decisions                   |
| Rejection Rate        | Frequency of failed submissions               |
| Task Difficulty       | Higher difficulty tasks may carry more weight |
| Participation History | Long-term contribution to the network         |

Higher reputation can unlock better tasks, higher rewards, and validator privileges.


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# 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://humangridai.gitbook.io/humangridai-docs/6.-reputation-system.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.