Does it factor in gas costs when comparing prices?

Absolutely. The skill ranks quotes based on the 'effective rate,' which subtracts estimated gas costs from the output amount for a true cost comparison.

What is required to use this skill?

You need Python 3.9+, network access to aggregator APIs, and optionally API keys for 1inch and 0x for higher rate limits.

Which DEX aggregators does this skill support?

The skill aggregates data from 1inch, Paraswap, and 0x to ensure comprehensive price coverage across the decentralized finance ecosystem.

Can it protect against MEV attacks?

Yes, it provides an MEV risk assessment score (Low/Medium/High) and estimated exposure to help users identify and avoid sandwich attacks.

How does it handle large order slippage?

It includes a specific split-order mode that calculates the optimal distribution of funds across different DEXs to minimize total price impact.

DEX Trade Router & Optimizer

Name: DEX Trade Router & Optimizer
Author: micsapp

bymicsapp

0•

Analíticas y Monitorización

Optimizes decentralized exchange trades by aggregating quotes and finding the most cost-effective routes across multiple liquidity sources.

The Routing DEX Trades skill empowers AI agents to perform sophisticated cryptocurrency trading analysis directly within Claude Code. By integrating with major aggregators like 1inch, Paraswap, and 0x, it identifies the best execution prices while accounting for gas costs and price impact. It supports advanced strategies such as splitting large orders to minimize slippage, discovering multi-hop swap paths, and evaluating MEV (Maximal Extractable Value) risk to protect trades from sandwich attacks. This is an essential tool for developers and traders looking to automate on-chain trade research and execution planning.

Características Principales

010 GitHub stars

02Automatically split large orders across multiple venues to reduce price impact

03Rank trade venues by effective rate inclusive of estimated gas fees

04Calculate optimal multi-hop routes for complex token pairs

05Analyze and score MEV risk for sandwich attack protection

06Aggregate real-time quotes from 1inch, Paraswap, and 0x

Casos de Uso

01Comparing prices across different DEXs for the best effective swap rate

02Planning high-volume token trades to minimize slippage and market impact

03Auditing transaction safety and MEV exposure before on-chain execution

Características Principales

010 GitHub stars

02Automatically split large orders across multiple venues to reduce price impact

03Rank trade venues by effective rate inclusive of estimated gas fees

04Calculate optimal multi-hop routes for complex token pairs

05Analyze and score MEV risk for sandwich attack protection

06Aggregate real-time quotes from 1inch, Paraswap, and 0x

Casos de Uso

01Comparing prices across different DEXs for the best effective swap rate

02Planning high-volume token trades to minimize slippage and market impact

03Auditing transaction safety and MEV exposure before on-chain execution