An advanced GraphQL toolkit for querying complex Art Blocks on-chain data, sales history, and NFT metadata across multiple blockchain networks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install query-artblocks-data
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 query-artblocks-data 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 Art Blocks GraphQL Data Query?
The Art Blocks GraphQL Data Query skill is a powerful expansion for AI agents within the Openclaw Skills ecosystem, designed to provide deep access to generative art data. While standard domain tools handle basic lookups, this skill acts as an advanced escape-hatch, allowing developers to execute custom GraphQL queries for complex joins, aggregations, and historical sales data that are otherwise inaccessible.
By leveraging this skill, users can interact with the artblocks-mcp GraphQL interface to explore schemas, validate fields, and optimize queries automatically. It supports multi-chain environments including Ethereum, Arbitrum, and Base, ensuring that agents can retrieve precise, real-time on-chain information for projects, artists, and individual token traits.
Art Blocks GraphQL Data Query Use Cases
- Tracking recent sales and purchase history across different blockchain networks.
- Performing complex aggregations, such as counting unique token owners for a specific generative project.
- Filtering projects based on specific on-chain attributes like script type, version, or completion status.
- Accessing deep metadata for tokens and contracts that exceed the scope of standard domain-specific tools.
- Auditing minting activity and project state for data-driven NFT research.
How Art Blocks GraphQL Data Query Works
- Schema Discovery: Use explore_table to view curated fields and relationships for primary tables like projects_metadata or tokens_metadata.
- Query Building: Utilize build_query to construct a valid GraphQL statement with auto-suggestions and built-in chain filtering.
- Optimization: Run the query through query_optimizer to ensure it uses high-performance metadata tables instead of raw tables.
- Validation: Use validate_fields for a quick check of field existence without requiring a full schema introspection.
- Execution: Perform the final data retrieval via graphql_query, passing specific Chain IDs to target Ethereum, Arbitrum, or Base.
Art Blocks GraphQL Data Query Setup
To integrate this capability into your environment using Openclaw Skills, configure your MCP server to include the Art Blocks data provider.
# Example of using the resource for platform context
# Fetch general info, verticals, and chain details
artblocks://about
Ensure your agent has access to the GraphQL endpoint and the necessary chain IDs (1 for Ethereum, 42161 for Arbitrum, 8453 for Base) to scope requests correctly.
Art Blocks GraphQL Data Query Data Schema & Taxonomy
The skill prioritizes metadata-rich tables for optimized performance and data depth:
| Preferred Table | Description |
|---|---|
| projects_metadata | Rich project details including artist info and script types |
| tokens_metadata | Comprehensive NFT instance data including traits and owners |
| contracts_metadata | Detailed on-chain contract information |
| purchases_metadata | Historical sales data, price in ETH, and buyer/seller addresses |
Queries are structured to return JSON objects containing these specific entities, often filtered by chain_id to prevent cross-chain data collisions.
Art Blocks GraphQL Data Query Advanced Features
- Query Auto-Rewriting: Automatically redirects queries from basic tables to high-performance metadata variants.
- Multi-Chain Support: Native handling for Ethereum, Arbitrum, and Base within a single interface.
- Curated Exploration: The explore_table tool organizes fields into logical categories like Identity, Status, and Market for faster developer onboarding.
- Variable Injection: Supports dynamic variable passing, such as $chainId, directly into GraphQL execution for flexible agent automation.
SKILL.md
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