AlphaFactoryX for Openclaw

A comprehensive financial data suite providing SEC filings, sentiment analysis, and macro indicators for US equity research.

haiyang0932
v1.0.1
Mar 6, 2026
0
0
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install alphafactoryx

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 alphafactoryx 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 AlphaFactoryX?

AlphaFactoryX is a robust financial intelligence tool designed for AI agents, offering programmatic access to a massive archive of US market data. By integrating this skill via Openclaw Skills, developers can provide their agents with direct access to SEC EDGAR filings, Seeking Alpha articles, and multi-engine AI sentiment analysis. The service covers approximately 2,000 US equities, making it an essential resource for automated fundamental and technical analysis.

This skill eliminates the need for manual web scraping or complex URL construction. It provides a structured interface to retrieve earnings call transcripts, analyst ratings, and real-time news sentiment from platforms like X/Twitter and Polygon. Whether you are building an automated trading bot or a deep-dive research assistant, this integration ensures your agent has the most relevant financial context available.

AlphaFactoryX Use Cases

  • Conduct deep-dive fundamental research using SEC 10-K and 10-Q filings.
  • Perform sentiment analysis on specific stocks using data from X/Twitter and major news outlets.
  • Monitor macro-economic trends using FRED indicators like CPI, GDP, and the VIX.
  • Search for specific keywords or revenue guidance across thousands of earnings call transcripts.
  • Retrieve OHLCV price data for technical analysis and backtesting strategies.

How AlphaFactoryX Works

  1. The AI agent connects to the AlphaFactoryX MCP server using a secure API token.
  2. Users invoke specific tools through Openclaw Skills to request data, such as SEC filings or sentiment reports.
  3. The server processes the request, performing full-text searches or aggregating AI-driven sentiment insights from multiple engines.
  4. Structured data is returned to the agent, which can then be used for synthesis, reporting, or decision-making.

AlphaFactoryX Setup

To get started, register for a free API token at http://ictree.com. Once you have your token, set it as an environment variable in your terminal:

export ALPHAFACTORYX_MCP_TOKEN="your_token_here"

Next, configure your openclaw.json or MCP configuration file to include the AlphaFactoryX server details:

{
  "mcpServers": {
    "alphafactoryx": {
      "type": "streamable-http",
      "url": "http://mcp.ictree.com/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_TOKEN"
      }
    }
  }
}

AlphaFactoryX Data Schema & Taxonomy

AlphaFactoryX organizes financial data into five primary taxonomies to support diverse research workflows:

Data Source Details
SEC EDGAR Full-text 10-K, 10-Q, 8-K, and Form 4 documents
Seeking Alpha Articles, ratings, financials, and earnings transcripts
News & Sentiment AI-scored news from Polygon and Stock News (Grok, DeepSeek, GPT-5)
Macro Indicators 25 FRED series including Fed Funds, CPI, and Unemployment
Price Data OHLCV bars for stocks and futures (Daily, Hourly, 1-min)

AlphaFactoryX Advanced Features

  • Multi-engine AI sentiment comparison featuring Grok, DeepSeek, and GPT-5 for balanced market perspectives.
  • Global full-text search capabilities across decades of SEC filings and Seeking Alpha archives.
  • Seamless integration with Openclaw Skills for multi-agent collaboration on complex financial tasks.
  • Specialized data tools for tracking Form 4 insider trading and peer company comparisons.
  • Real-time macro-economic context fetching to ground stock-specific analysis in broader market trends.

SKILL.md


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