# Current Agents #### **First Eye** **Narrative: Early Project Detection** First Eye watches the landscape for **prelaunch announcements**, **stealth deployments**, and **new liquidity events**.\ It helps users catch opportunities **before the crowd**. Key Functions: * Scrapes groups, channels, and social signals * Filters launches by chain, narrative, and marketing intensity * Flags stealth launches and narrative-driven plays * Scores launches based on quality and activity levels *** #### **Scope Eye** **Narrative: Sniper Tracking and Buyer Behavior** Scope Eye focuses on the **wallets that matter**.\ It tracks early buyers, identifies sniper bots, and helps users understand **who’s really moving the market**. Key Functions: * Detects sniper bot activity and preapprovals * Labels wallets (Dumper, Jeet, Diamond Hands) * Tracks early liquidity providers * Sends alerts for unusual early buying patterns *** #### **CA Eye** **Narrative: Contract Auditing and Risk Profiling** CA Eye inspects **smart contracts** to detect hidden dangers before you interact. Key Functions: * Detects honeypots, blacklist/whitelist controls, stealth taxes * Flags owner-controlled or upgradable functions * Scores contracts based on known scam patterns * Compares new contracts to database of rug/degen codes *** #### **Dev Eye** **Narrative: Deployer Wallet Analysis** Dev Eye reveals the truth about **who deployed the project**. Key Functions: * Tracks deployer wallet history * Flags previous rug/scam deployers * Monitors deployer-linked team wallets * Alerts if a deployer starts selling early or airdrops to suspicious wallets --- # 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://datasnype.gitbook.io/datasnype/datasnype-tools-agents-overview/current-agents.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.