MarketPulse

Fetch real-time and historical market data for equities and cryptocurrencies via the AISA API.

23|6|Updated Jan 30, 2026
One-click install
npx skills add https://github.com/AIsa-team/OpenClaw-Skills --skill marketpulse
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: MarketPulse
Source: https://github.com/AIsa-team/OpenClaw-Skills/tree/main/market
Command: npx skills add https://github.com/AIsa-team/OpenClaw-Skills --skill marketpulse

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

OpenClaw Market Pulse provides centralized access to real-time and historical market data for autonomous agents, eliminating the need to manually query multiple financial sources.

Core Features & Use Cases

  • Cross-Asset Market Data: stocks + crypto + financial metrics in a single API.
  • Company News, SEC Filings, and Financial Statements: comprehensive research data for investment decisions.
  • Use Case: A trading AI can monitor AAPL and BTC-USD, pull price trends, news, and earnings for automated alerts.

Quick Start

Set the API key in your environment: export AISA_API_KEY="your-key" Retrieve stock prices: python market_client.py stock prices --ticker AAPL --start 2025-01-01 --end 2025-01-31 Retrieve crypto snapshot: python market_client.py crypto snapshot --ticker BTC-USD

Frequently Asked Questions about MarketPulse

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get real-time market data for stocks and crypto in a single API?

Real-time market data for stocks and crypto is retrieved via the AISA API using Python 3 or curl. You can query cross-asset financial metrics, company news, and SEC filings through one centralized interface by setting the AISA_API_KEY environment variable.

Can I track both equities and cryptocurrencies for portfolio analysis?

Yes, you can track equities and cryptocurrencies for portfolio analysis. The API provides cross-asset investment data, allowing autonomous agents to monitor tickers like AAPL and BTC-USD, pull historical price trends, and fetch earnings reports simultaneously.

How do I pull historical stock prices using Python for autonomous agents?

Historical stock prices are pulled using the market_client.py script in Python. Execute the command with the stock subcommand, specifying the ticker and date range, to retrieve historical data for your autonomous agents to analyze trends.

Do I need an API key to fetch SEC filings and financial statements?

Yes, an API key is required to fetch SEC filings and financial statements. You must export your AISA_API_KEY into the environment before executing Python or curl commands to retrieve comprehensive research data for investment decisions.

What is the best way to automate trading alerts for price trends and news?

Automating trading alerts for price trends and news is best achieved by deploying an autonomous agent that continuously queries the API. The agent can monitor specific tickers, pull real-time snapshots, and trigger automated alerts based on fetched market data.

Does this market data API work with standard command line tools?

Yes, the market data API works with standard command line tools like curl and Python 3. These dependencies allow you to execute scripts to retrieve crypto snapshots and stock prices without needing specialized financial software.