DexScreener

An autonomous AI agent that provides real-time token analytics using DexScreener's API.

In this video Armağan Amcalar, OpenServ CTO, demo a guide through about how to use this example

Features

• Filter tokens by various criteria:

  • Trading volume

  • Market capitalization

  • Liquidity

  • Token age

  • Blockchain (Solana, Ethereum, BSC, etc.)

• Real-time data from DexScreener

• Formatted output with key metrics

• Natural language interface

Capabilities

filterTokens

Filter tokens based on specific criteria:

• chain - Filter tokens by blockchain (e.g., "solana", "ethereum", "bsc")

• minVolume24h - Minimum 24-hour trading volume in USD

• minLiquidity - Minimum liquidity in USD

• minMarketCap - Minimum market capitalization in USD

• maxMarketCap - Maximum market capitalization in USD

• maxAgeDays - Maximum age of the token pair in days

Example Queries

"Show me tokens with >$1M 24h volume and market cap between $1M-$25M"
"List tokens on Solana with >$2000 liquidity created in the last 30 days"
"Find tokens with >$10M market cap and positive 24h price change"
"Show me tokens with >$1M 24h volume and market cap between $1M-$25M created in the last 30 days"

API Reference

The agent uses DexScreener's API endpoints:

• /token-boosts/top/v1: Get top boosted tokens

• /latest/dex/tokens/{address}: Get detailed token information

Output Format

For each token that matches the criteria, the agent returns:

{
  "name": "Token Name",
  "symbol": "TKN",
  "chain": "blockchain",
  "dex": "exchange",
  "price": "$0.123456",
  "marketCap": "$1,234,567",
  "volume24h": "$123,456",
  "priceChange24h": "12.34%",
  "age": "7 days",
  "website": "https://token-website.com",
  "twitter": "https://twitter.com/token",
  "dexScreenerUrl": "https://dexscreener.com/..."
}

How to run the example: Agents Examples

[ Go to repo ]