A specialized skill for building web3 applications that query indexed blockchain data and contract state across 100+ EVM chains via the Blockscout PRO API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install web3-dev
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 web3-dev 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 Web3 Dev: Blockscout PRO API Integration?
This skill empowers AI agents to develop sophisticated web3 applications, scripts, and bots using the Blockscout PRO API. It provides a unified interface to access indexed blockchain data—including transactions, tokens, and NFTs—across more than 100 EVM-compatible chains. By integrating this into Openclaw Skills, developers can leverage a single API key to switch between networks like Ethereum, Optimism, and Base seamlessly.
The skill also facilitates historical contract state reads through a built-in JSON-RPC gateway, ensuring a comprehensive data environment for any decentralized application. It prioritizes secure key handling and context-efficient data processing, making it ideal for LLM-driven development environments.
Web3 Dev: Blockscout PRO API Integration Use Cases
- Building automated trading bots or portfolio trackers that require real-time wallet history and NFT inventory.
- Developing cross-chain analytics dashboards to monitor transaction logs and token metadata across multiple L2s.
- Generating scripts for smart contract auditing that need to query historical contract state using eth_call.
- Creating mobile or desktop dApp frontends that consume enriched, indexed blockchain data without managing multiple RPC providers.
How Web3 Dev: Blockscout PRO API Integration Works
- Validates the presence of a Blockscout PRO API key in the environment or project secrets to ensure secure authentication.
- Resolves the target network's numeric chain ID by querying the global configuration endpoint.
- Identifies the most efficient REST endpoint for the specific data request using a curated reference index.
- Inspects the OpenAPI specification for precise parameter requirements and response schemas to ensure accurate integration.
- Executes the HTTP request with mandatory Bearer authentication and optimized headers for CDN resilience.
- Processes the response by projecting only the necessary data fields to maintain context efficiency for the AI agent.
Web3 Dev: Blockscout PRO API Integration Setup
Ensure you have an API key from the Blockscout developer portal. Install the necessary inspection tools to interact with Openclaw Skills:
# Install oastools for OpenAPI traversal
go install github.com/erraggy/oastools@latest
# Set your API key in the environment
export BLOCKSCOUT_PRO_API_KEY=proapi_your_key_here
Refer to the references directory within the skill folder to start exploring available blockchain data endpoints.
Web3 Dev: Blockscout PRO API Integration Data Schema & Taxonomy
| Category | Description | Source |
|---|---|---|
| Indexed Data | Transactions, blocks, addresses, tokens, and logs | REST Endpoints |
| Contract State | Live or historical view-function results and storage reads | JSON-RPC Gateway |
| Metadata | Token symbols, decimals, NFT URIs, and contract ABIs | Explorer-enriched fields |
| Accounting | Credit usage and rate limit status | HTTP Headers (x-credits-remaining) |
Web3 Dev: Blockscout PRO API Integration Advanced Features
- Multi-chain support allowing seamless switching between 100+ EVM networks via simple path parameters.
- Integrated JSON-RPC gateway for executing complex eth_call requests without needing external RPC providers.
- Automatic pagination handling for fetching large datasets like full wallet histories or holder lists.
- Real-time credit monitoring via response headers to prevent script interruptions and optimize API consumption costs.
- Context-aware data projection using jq to prevent LLM context window exhaustion during large data fetches.
SKILL.md
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