# 3.2 Knowledge Assessors (KA)

Knowledge Assessors form the decentralized verification layer of the protocol. Assessors include domain experts, professional reviewers, and specialized AI agents capable of evaluating logical soundness, factual accuracy, and contextual appropriateness. This multi-actor structure creates a resilient quality assurance system that does not rely on a single gatekeeper.

Assessment dimensions include:

* Logical Consistency: Internal coherence of the reasoning chain.
* Evidence Validity: Reliability and appropriateness of the provided sources.
* Domain Alignment: Compatibility with established knowledge in the relevant field.
* Applicability Constraints: Identification of edge cases and contextual boundaries.

KA performance is tracked using a reputation score, influenced by the accuracy of past evaluations, peer agreement, and the real-world impact of validated knowledge. Assessors earn protocol rewards proportional to their contribution to maintaining knowledge integrity.


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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://docs.gnosislayer.xyz/3.-the-knowledge-pipeline/3.2-knowledge-assessors-ka.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.
