Query DexScreener market data - search pairs, inspect liquidity/volume, check boosted tokens, and fetch token orders.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install dexscreenerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install dexscreenerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/dexscreener/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Dexscreener API can do for your AI workflow
Dexscreener market data - directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Dexscreener API
Help me get started with Dexscreener API
Explains what Dexscreener API does, walks through the setup, and runs a quick demo based on your current project
Use Dexscreener API to query DexScreener market data - search pairs, inspect liquidity/vol...
Invokes Dexscreener API with the right parameters and returns the result directly in the conversation
What can I do with Dexscreener API in my data & analytics workflow?
Lists the top use cases for Dexscreener API, with example commands for each scenario
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Dexscreener API extends your AI assistant with the ability to query DexScreener market data - search pairs, inspect liquidity/volume, check boosted tokens, and fetch token orders. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Dexscreener API as its underlying capability.
Dexscreener API works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Dexscreener API once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Dexscreener API installs like any other MCP skill: drop the folder into `~/.claude/skills/dexscreener/` for global access, or `.claude/skills/dexscreener/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/dexscreener`, or let the AI decide when it's the right tool for your request.
Dexscreener API has 752 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/dexscreener/ for personal use (all projects), or .claude/skills/dexscreener/ for project-specific use. Restart your AI client, then invoke with /dexscreener or let the AI discover it automatically.
Dexscreener API supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Dexscreener API is free to install. Check the repository for licensing information.
Query DexScreener market data - search pairs, inspect liquidity/volume, check boosted tokens, and fetch token orders.
Links
Automate my data & analytics tasks using Dexscreener API
Identifies repetitive steps in your workflow and sets up Dexscreener API to handle them automatically
Dexscreener API is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.