# What is Forge? Forge is a Solana-native AI assistant that gives anyone access to deep onchain intelligence through natural language. Think of it like ChatGPT, but specifically trained to understand memecoins, snipers, liquidity trends, and wallet behaviors across Solana. What makes Forge different is its ability to *analyze blockchain activity the way a real trader thinks*. It doesn't just show charts or surface token metadata — it tracks how a token behaves from the second it's deployed. Who bought it? Who sniped it? Who's still holding? Has the dev wallet sold? Forge answers these questions in seconds. #### Why this matters The memecoin space on Solana moves faster than any market. Tokens launch, pump, and die within hours. The biggest edge a trader can have is *information before the rest*. Forge exists to provide that edge by giving fast, interpretable answers about token health, trading activity, and wallet behaviors that usually take hours of digging. Forge's LLM connects directly to Solana RPCs, decodes transactions, traces wallets, and returns structured, human-like answers. This means it doesn’t just “guess” or hallucinate — it retrieves real onchain data and interprets it clearly, so anyone can understand what’s going on behind a token. #### How it's used A user might ask: * “How many wallets sniped this token in the first minute?” * “Is the deployer wallet still holding?” * “What % of supply is held by fresh wallets?” * “Has this wallet launched other tokens before?” * “Does this look like a fair launch or a farm?” Forge responds with detailed metrics: percentages, labels, counts, and context — exactly like a smart analyst would break it down. --- # 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.forgeonchain.ai/introduction/what-is-forge.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.