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Official Verified finance Safety 4/5

MarketPulse

Query real-time and historical financial data across equities and crypto—prices, market moves, metrics, and trends for analysis, alerts, and reporting.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/bowen-dotcom/aisa-market-skill
Or

What This Skill Does

The MarketPulse skill serves as a high-powered interface for the OpenClaw AI agent to interact with the AIsa financial data ecosystem. It provides autonomous agents with the ability to ingest, process, and analyze massive streams of real-time and historical market data. Whether you are building a quantitative trading assistant, a research-heavy portfolio manager, or a trend-monitoring bot, MarketPulse acts as the bridge to global equity and cryptocurrency markets. The skill enables precise extraction of ticker-based price data, deep-dive financial statement analysis, and real-time market metrics, allowing the agent to function as a sophisticated financial analyst. By leveraging the AIsa API, the skill provides consistent, accurate data ingestion with support for multiple granularities and asset classes.

Installation

To integrate this skill into your agent environment, execute the following command in your terminal within the OpenClaw directory:

clawhub install openclaw/skills/skills/bowen-dotcom/aisa-market-skill

Once installed, ensure your environment variables are configured with your valid AIsa API key:

export AISA_API_KEY="your-key-here"

Use Cases

MarketPulse is designed for high-frequency and high-fidelity research scenarios. Key applications include:

  • Portfolio Management: Tracking real-time performance of diversified portfolios containing both crypto and traditional stocks.
  • Financial Intelligence: Automatically pulling and summarizing quarterly earnings reports, balance sheets, and cash flow statements for competitive analysis.
  • Algorithmic Screening: Finding market opportunities by filtering assets based on custom metrics like P/E ratios, growth rates, and insider trading patterns.
  • Trend Analysis: Generating technical summaries and charts based on historical price data intervals ranging from seconds to years.

Example Prompts

  1. "What is the current price of BTC and NVDA, and how have they performed relative to each other over the last 30 days?"
  2. "Analyze the latest income statement for Tesla. Are their margins improving compared to previous quarters?"
  3. "Find all stocks in the tech sector with a P/E ratio under 15 and revenue growth exceeding 20%."

Tips & Limitations

  • Granularity: Always specify the correct interval and interval_multiplier to ensure you are receiving the resolution of data you require. High-frequency data (seconds/minutes) is computationally expensive; use it sparingly.
  • Data Integrity: While AIsa provides high-quality data, always cross-reference critical trading signals with multiple sources when executing high-value automated trades.
  • Security: Keep your AIsa API key secure. Do not hardcode it in public repositories. Use environment variables as shown in the quick start guide.
  • Rate Limits: Be mindful of your AIsa subscription tier limits to avoid unexpected request throttling during intensive data fetching sessions.

Metadata

Stars4190
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Updated2026-04-18
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-bowen-dotcom-aisa-market-skill": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#finance#stocks#crypto#trading#analysis
Safety Score: 4/5

Flags: external-api