Crypto Market Intel for Openclaw

A zero-config market data pipeline providing real-time cryptocurrency, stock, and macro intelligence for AI agents without requiring any API keys.

avmw2025
v1.0.1
Mar 14, 2026
0
981
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install crypto-market-intel

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install crypto-market-intel 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 Crypto Market Intel?

Crypto Market Intel is a robust data acquisition skill designed for Openclaw Skills that bridges the gap between AI agents and real-time financial markets. It eliminates the friction of API management by leveraging high-quality public endpoints to fetch comprehensive data across multiple asset classes. Whether you are tracking Bitcoin dominance or monitoring AI-sector stocks like NVDA, this skill provides the ground truth necessary for informed decision-making.

The skill is built with portability and reliability in mind, using standard Python libraries to ensure it runs seamlessly in any environment. By providing structured JSON outputs, it allows Openclaw Skills to perform complex market analysis, sentiment tracking, and automated reporting without the risk of LLM hallucinations regarding current price points or market conditions.

Crypto Market Intel Use Cases

  • Monitoring real-time cryptocurrency prices, market caps, and dominance metrics for portfolio tracking.
  • Analyzing market sentiment using the Fear & Greed Index to identify potential buy or sell opportunities.
  • Tracking DeFi ecosystem health through Total Value Locked (TVL) data across major protocols.
  • Correlating crypto movements with macro indicators like the DXY Dollar Index and 10-Year Treasury yields.
  • Providing AI agents with fresh data for generating automated daily market summary reports.

How Crypto Market Intel Works

  1. The user or a cron job triggers the market-data-fetcher script with specific arguments (crypto, stocks, or all).
  2. The skill dispatches asynchronous requests to six free public APIs including CoinGecko, DeFi Llama, and Yahoo Finance.
  3. Raw data is cleaned, structured, and timestamped to ensure accuracy and prevent stale information.
  4. Structured JSON files are saved to the designated output directory for easy consumption by AI agents.
  5. An optional analysis wrapper can be executed to synthesize the raw data into a human-readable prompt for further agent reasoning.

Crypto Market Intel Setup

To install and start fetching data with this skill for Openclaw Skills, follow these steps:

# Navigate to the skill scripts directory
cd ~/.openclaw/skills/crypto-market-intel/scripts

# Fetch all market data to a specific directory
python3 market-data-fetcher.py all --output ~/market-data

# Run a market analysis summary
./analyze-market.sh ~/market-data

Crypto Market Intel Data Schema & Taxonomy

The skill generates two primary JSON artifacts to organize market intelligence:

File Key Metrics Included
crypto-latest.json Top 30 coins, Global MCAP, BTC Dominance, Fear & Greed Index, DeFi TVL.
stocks-latest.json S&P 500, Nasdaq, Dow Jones, VIX, AI Sector stocks (NVDA, MSFT), DXY, 10Y Yield.

Each file includes a fetched_at ISO 8601 timestamp to ensure data freshness.

Crypto Market Intel Advanced Features

  • Cron Integration: Easily automate hourly data snapshots to build a historical local database of market conditions.
  • Zero-Dependency Architecture: Uses Python's built-in urllib, making it lightweight and highly portable across different systems.
  • Customizable Stock Watchlists: Target specific sectors like AI infrastructure or AI energy via pre-configured symbol groups.
  • Multi-Source Resilience: The fetcher is designed to continue operation even if one specific API source encounters a temporary timeout.

SKILL.md


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