Can it help with gas cost estimation?

Yes, it calculates the 'effective rate' by factoring in real-time gas costs for each specific route, showing you the true return of a swap.

How does it handle large trades?

It features a specialized split-order mode that calculates the optimal percentage allocation across multiple venues to minimize price impact.

Does it provide protection against MEV?

It analyzes potential MEV risk (Low/Medium/High) and provides a risk score to help you avoid sandwich attacks before execution.

Are API keys required to use this skill?

While it works with public endpoints, adding API keys for 1inch and 0x in the settings file allows for higher rate limits and more reliable quoting.

Which DEX aggregators does this skill support?

The skill aggregates data from 1inch, Paraswap, and 0x to ensure you find the most competitive pricing across the DeFi ecosystem.

DEX Trade Routing & Aggregator

Name: DEX Trade Routing & Aggregator
Author: micsapp

bymicsapp

0•

Analíticas y Monitorización

Optimizes decentralized exchange trades by finding the best swap routes across multiple liquidity sources to minimize slippage and gas costs.

This skill enables Claude to act as a sophisticated DeFi assistant, aggregating real-time quotes from major DEX platforms including 1inch, Paraswap, and 0x. It provides comprehensive price comparisons, discovers efficient multi-hop routes, and calculates optimal order splitting for large trades to significantly reduce market price impact. By integrating MEV risk assessment, the skill helps protect transactions from sandwich attacks while providing a clear breakdown of effective rates after factoring in network gas fees.

Características Principales

01Large order splitting logic to minimize total price impact

020 GitHub stars

03Multi-DEX quote aggregation from 1inch, Paraswap, and 0x

04MEV risk scoring and sandwich attack exposure assessment

05Real-time comparison of effective swap rates including gas costs

06Multi-hop route discovery for complex liquidity paths

Casos de Uso

01Finding the most cost-effective path for high-volume token swaps

02Analyzing MEV exposure and slippage before executing on-chain trades

03Comparing direct versus multi-hop trading routes for illiquid assets

Características Principales

01Large order splitting logic to minimize total price impact

020 GitHub stars

03Multi-DEX quote aggregation from 1inch, Paraswap, and 0x

04MEV risk scoring and sandwich attack exposure assessment

05Real-time comparison of effective swap rates including gas costs

06Multi-hop route discovery for complex liquidity paths

Casos de Uso

01Finding the most cost-effective path for high-volume token swaps

02Analyzing MEV exposure and slippage before executing on-chain trades

03Comparing direct versus multi-hop trading routes for illiquid assets