> For the complete documentation index, see [llms.txt](https://docs.tvatrack.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tvatrack.app/basics/our-solutions.md). # Our Solutions Web3 is growing rapidly, but market timing and wallet intelligence tools remain disorganized and out of reach for most users. **TVA Track** addresses key pain points: *** #### Key Problems * **Wallet Tracking Is Fragmented**: Too many tools, none of them in real time * **Signal Groups Are Noisy**: Most alpha groups are based on speculation, not wallets * **No Automation**: There is no way to auto-trade wallet-based intelligence * **Lack of Curation**: Everyone sees the same wallets, regardless of strategy * **Speed Gap**: The smartest wallets move minutes before public reaction, which is too late * **Lack of Context**: Knowing that a whale bought is not useful without reputation or behavioral patterns * **Lack of Accessibility**: Telegram bots are basic, dashboards are too technical *** #### **TVA Labs Solutions** * **Real-Time Alerts**: Sent directly to Telegram, instantly * **AI Scoring System**: Every wallet has a risk and reputation score * **Curation Tools**: Build your own watchlists or monetize wallet packs * **Chrome Extension (Pro)**: UI-rich wallet profiles, patterns, and clustering * **Bot Integrations (Coming Soon)**: Connect **TVA Track** with trading bots or signal webhooks * **Custom Automation**: Auto-snipe new buys from defined wallets (premium feature) * **Cross-Chain Vision**: Starting with Solana, designed to support EVM and SVM chains in the future * **Powered by $TVA** Every feature, upgrade, and action is tied to our utility token --- # 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: ``` GET https://docs.tvatrack.app/basics/our-solutions.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.