# Public Beta To contribute to the improvement of our platform and to receive test rewards, please fill out our [Beta Feedback Form](https://docs.google.com/forms/d/e/1FAIpQLSdtQHc9rLVi3jOV1DEi92elV1oXgI2pk7AgWC9iixQpZkx2Zw/viewform). Test Rewards: A massive $10.000 in $FRIC has been put aside to reward testers. Besides a fully filled out test form that will get released, we will provide the following rewards for testing: 1. **Filled out form with elaborate feedback:** $1000+ in $FRIC By completely filling out the form and avoiding single word answers and take the time to provide valuable feedback we will reward submissions with $10 in $FRIC to the provided wallet. If the reward pool has not been depleted till the end of testing, this reward will get topped up. 2. **Bug Bounty:** Pool of $4000+ in $FRIC (Dependent on quality of information we will top up rewards) By providing info regarding possible exploits and vulnerabilities and backing it up with findings in our code, we will reward based on the intensity of the findings. Platform Breaking Bug - $1000+ Code issues - $500+ Interface issues - $300+ Others - $100+ 3. **Traded Volume:** $4000+ in $FRIC for testers that create offers, and contribute in the same manner, thus creating a thriving and healthy platform volume to stress test our possible bottlenecks and performance. We will check wallets and interactions and analyze a proper reward median after testing is concluded. 4. **Additional rewards:** $1000+ in $FRIC for the best among you we will put aside an additional reward pool, that will get handed out to the top testers, by volume, feedback and findings. Get cracking, we can’t wait to see your insights! --- # 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://learn.frictionless.network/guides/public-beta.md?ask= ``` 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.