A powerful suite of APIs for real-time cryptocurrency market analysis, on-chain research, and automated meme-style image generation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aikek
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install aikek using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AIKEK API is a professional-grade tool designed for developers and researchers who need immediate access to the cryptocurrency and DeFi landscape. By incorporating this into your library of Openclaw Skills, you gain the ability to query a specialized knowledge engine that processes real-time news, market trends, and on-chain data. The skill provides a dual-purpose functionality: a Knowledge API for analytical depth and a Visuals API for creative image generation, both authenticated via a secure Solana-based signature system.
Whether you are building a trading bot, a research dashboard, or an automated social media presence, this skill offers the infrastructure to bridge raw blockchain data with high-level AI intelligence. It supports various search intensities to match your specific needs, making it a versatile asset for any developer utilizing Openclaw Skills for financial technology applications.
To integrate this with your Openclaw Skills, ensure you have Python 3.10+ and the required libraries installed:
pip install solders requests
Generate your Solana keypair and secure your credentials file:
mkdir -p ~/.config/aikek
python3 -c "from solders.keypair import Keypair; kp = Keypair(); print(f'AIKEK_PRIVATE_KEY={bytes(kp).hex()}\nAIKEK_ADDRESS={kp.pubkey()}')" > ~/.config/aikek/credentials
chmod 600 ~/.config/aikek/credentials
Follow the authentication lifecycle to retrieve your AIKEK_API_TOKEN and export it to your environment variables.
The skill manages data through structured JSON responses and metadata tags. Below is the primary data structure for research queries:
| Attribute | Description |
|---|---|
answer |
The core textual response generated by the knowledge engine. |
sources |
A list of URLs providing evidence for the generated answer. |
sentiment |
A numerical value (e.g., 1-10) representing the market sentiment score. |
cdn_url |
The hosted URL for images generated via the Visuals API. |
search_mode |
Configuration setting determining the balance between speed and research depth. |
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