> For the complete documentation index, see [llms.txt](https://solyx.gitbook.io/solyx-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://solyx.gitbook.io/solyx-docs/applications.md). # Applications Solyx provides a flexible layer of behavioral intelligence that can be used by a wide range of Solana-native protocols. Its trust scores, behavioral tags, and annotations are composable signals that can be integrated into trading tools, governance frameworks, and coordination systems. *** ## 4.1 Trading Platforms & Tools Exchanges, aggregators, and charting platforms can integrate Solyx to help traders quickly identify wallet types. By surfacing whether a counterparty is a sniper bot, an insider, a long-term holder, or a copytrader farmer, Solyx allows users to make faster, sharper decisions in high-volatility environments. *** ## 4.2 DeFi Credit Scoring Lending protocols, especially those offering undercollateralized loans, benefit from behavioral scoring. Solyx can highlight wallets with long-term activity, responsible repayment histories, or consistent usage patterns across multiple dApps. Conversely, it can flag patterns associated with liquidation farming, exploit attempts, or short-term manipulation. This creates a safer and more data-rich lending environment. *** ## 4.3 DAOs & Governance Filtering DAOs can use Solyx to defend against sybil attacks, vote manipulation, or governance capture. By evaluating wallets based on their prior participation, contract interactions, and voting behavior, DAOs can implement score-weighted voting or tiered governance rights. This makes it easier to reward real contributors and penalize opportunistic wallets that appear only during high-stakes proposals. *** ## 4.4 Launchpads & Airdrops When launching new tokens or protocols, airdrops and early access campaigns often face exploitation by bots and mercenary capital. Solyx helps projects direct value toward wallets with long-term alignment, cross-project engagement, and a history of meaningful participation. Launchpads can use trust scores and annotations to refine distribution and minimize waste. --- # 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://solyx.gitbook.io/solyx-docs/applications.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.