MGO is a specialized multi-chain gas optimization tool designed to help AI agents find the most cost-effective EVM chains for transactions and contract deployments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chain-ops-mgo
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install chain-ops-mgo using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MGO — Multi-chain Gas Optimizer?
MGO (Multi-chain Gas Optimizer) is a powerful utility within the Openclaw Skills ecosystem that enables real-time comparison of gas prices across various Ethereum Virtual Machine (EVM) compatible networks. By leveraging the x402 protocol on Base, it provides a seamless, API-key-free experience for developers and AI agents to programmatically identify the cheapest environment for executing transactions.
The skill eliminates the manual overhead of checking block explorers by synthesizing data from major networks including Ethereum, Base, Optimism, Arbitrum, and more. It is specifically built to integrate with autonomous agents that require financial efficiency when performing on-chain tasks, ensuring every cent is saved through precise savings calculations and chain recommendations.
MGO — Multi-chain Gas Optimizer Use Cases
- Comparing real-time gas prices across multiple EVM chains to identify the most affordable network.
- Determining the optimal chain for deploying smart contracts based on current congestion and fees.
- Automating cost-saving logic for cross-chain bridging or decentralized finance (DeFi) operations.
- Analyzing potential savings between Layer 1 (Ethereum) and various Layer 2 solutions like Base or Arbitrum.
How MGO — Multi-chain Gas Optimizer Works
- The AI agent triggers the MGO skill to request current gas data from the centralized API endpoint.
- The skill utilizes the x402 protocol on the Base network to handle micropayments in USDC, removing the need for traditional API keys.
- MGO queries real-time congestion data from supported blockchains (up to 9 chains in premium mode).
- The service processes the raw data to calculate specific savings and provides a 'cheapest chain' recommendation.
- The agent receives a structured response allowing it to proceed with the transaction on the most cost-effective network.
MGO — Multi-chain Gas Optimizer Setup
To integrate MGO into your workflow, configure your agent to interact with the following base URL. Since it uses the x402 protocol, ensure your agent's wallet has a small balance of USDC on Base.
# Base API URL
https://api.mgo.chain-ops.xyznn# Example: Accessing the free demo endpoint
curl -X GET https://api.mgo.chain-ops.xyz/gas/demon```
MGO — Multi-chain Gas Optimizer Data Schema & Taxonomy
The MGO skill returns structured JSON data categorized by service tiers. Below is the organization of the data provided through Openclaw Skills:
| Tier | Data Provided | Supported Chains |
|---|---|---|
| Demo | Raw gas prices | 4 core chains |
| Basic | Recommendations + Savings calculation | Ethereum, Base, Optimism, Arbitrum |
| Premium | Full market comparison | 9 chains (incl. Polygon, Avalanche, zkSync, etc.) |
All paid interactions are settled via the x402 protocol on Base (EIP-155:8453).
MGO — Multi-chain Gas Optimizer Advanced Features
- Support for 9+ high-traffic chains including Hyperliquid, zkSync, and BNB Chain.
- Native x402 protocol integration for frictionless, pay-per-use machine-to-machine payments.
- Real-time savings calculations that compare L2 efficiency against Ethereum Mainnet.
- Specialized llms.txt support for enhanced discovery and context-aware use by Large Language Models.
SKILL.md
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