A real-time crypto market intelligence briefing that provides AI agents with situational awareness through a comprehensive Market Pulse Score.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install supah-pulse
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 supah-pulse 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 SUPAH Pulse?
SUPAH Pulse acts as the essential context layer for crypto-native AI agents. Before an agent executes a trade or provides financial advice, it requires an accurate understanding of the current market regime. This skill delivers a full market picture—including fear/greed indices, BTC/ETH dominance, gas costs, and trending tokens—consolidated into a single actionable briefing.
Built for the decentralized web, it utilizes x402 USDC micropayments on the Base network. This means your agent can autonomously pay for the intelligence it needs on a per-call basis ($0.03 per pulse) without the friction of API keys or traditional subscriptions. By integrating this into Openclaw Skills, developers ensure their agents aren't flying blind in volatile market conditions.
SUPAH Pulse Use Cases
- Risk management: Determining if the market is risk-on or risk-off before executing orders.
- Automated trading: Adjusting position sizing based on the Market Pulse Score (0-100).
- Market research: Identifying trending tokens and DeFi TVL shifts across major chains like Base, Solana, and Arbitrum.
- Cost optimization: Checking real-time gas fees on Ethereum and Base to time transactions efficiently.
- Sentiment analysis: Monitoring the Fear & Greed Index to avoid buying into overextended rallies.
How SUPAH Pulse Works
- The AI agent triggers the skill via a natural language command or automated workflow.
- The skill initiates an x402-compatible HTTP request to the SUPAH API, automatically processing a $0.03 USDC micropayment on the Base network.
- SUPAH's backend aggregates data in parallel from sources including CoinGecko, DeFiLlama, and Moralis.
- The SUPAH Regime Engine processes momentum, sentiment, and macro signals through its ML-powered forecasting model.
- A comprehensive JSON payload is returned, containing the Market Pulse Score, regime classification, and tactical suggestions.
- The agent interprets the briefing to make informed, context-aware decisions within its operational environment.
SUPAH Pulse Setup
To add this capability to your agent, use the following command to install it via Openclaw Skills:
clawhub install supah-pulse
Requirements:
- Node.js v18+ and
curlmust be installed. - The agent wallet must hold USDC on the Base network to facilitate x402 micropayments.
- (Optional) Set
SUPAH_API_BASEin your environment variables if using a custom endpoint.
SUPAH Pulse Data Schema & Taxonomy
The skill returns a structured briefing that covers several intelligence layers. Below is how the data is organized:
| Layer | Weight | Metrics Tracked |
|---|---|---|
| ETH Momentum | 20% | Price deltas (10m to 6h), range position, acceleration |
| Trend Health | 20% | Volume surges, pattern detection (bottoming/recovering) |
| Macro Signals | 20% | BTC correlation, funding rates, liquidation risk |
| Sentiment | 15% | Fear & Greed Index and daily/weekly trends |
| Prediction | 15% | ML-powered direction forecast and confidence scores |
| Mean Reversion | 10% | Z-score vs EMA20/EMA50, RSI/overbought detection |
Additionally, the payload includes a tactical briefing with Support/Resistance levels and specific SUPAH Regime Signals.
SUPAH Pulse Advanced Features
- x402 Micropayment Integration: Eliminates API key management by using native on-chain payments.
- ML-Powered Forecasting: Provides a direction forecast with an associated confidence score for predictive modeling.
- Proprietary Regime Classification: Automatically categorizes the market into specific phases like Accumulation, Risk-Off, or Bullish Acceleration.
- Multi-Chain TVL Monitoring: Real-time tracking of capital flows across Ethereum, Base, Arbitrum, and Solana.
- Granular Gas Metrics: Real-time swap cost estimations for both L1 and L2 networks.
SKILL.md
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