> For the complete documentation index, see [llms.txt](https://whitepaper.qualoo.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.qualoo.io/how-qualoo-works/decentralized-physical-test-network.md). # Decentralized Physical Test Network The Qualoo model introduces an innovative, decentralized approach to Internet performance testing, harnessing the power of collective action and tokenized incentives. **Test Network**: Qualoo invites internet end-users to become part of the solution. Users who set up a Qualoo Test Nodes participate in regular connectivity tests. These tests are broad-ranging, capturing various aspects of internet performance, including Quality of Service (QoS), DNS, HTTP, and bandwidth tests. This enables a more holistic and accurate measurement of internet performance, capturing the actual user experience. **Tokenized Incentives**: For their contributions, users are rewarded with QXT tokens. The quantity and type of tests performed influence the number of tokens awarded. This creates a dynamic, shared economy model where every participant has a stake in the network's success and is incentivized to contribute. **Benefits of Decentralization and Shared Economy Model**: Qualoo's decentralized network overcomes the significant cost barriers that the telecommunications industry would face in creating a similar centralized test network. Sharing responsibilities and rewards with end users enables rapid and cost-effective deployment and scaling of the network. The model also empowers users, fostering a sense of shared ownership and mutual benefit. In essence, the Qualoo model combines decentralization, broad participation, and tokenized incentives to create a more robust, responsive, and cost-effective solution to measuring and improving internet performance. --- # 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://whitepaper.qualoo.io/how-qualoo-works/decentralized-physical-test-network.md?ask=&goal= ``` `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.