An AI research integration that performs grounded market analysis and runs automated, scheduled research agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fn2
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 fn2 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 FN2 Market Research & Agents?
FN2 is an AI-driven market and economic research integration designed to answer complex financial queries with grounded, sourced data. It pulls from real-time sources such as live stock prices, earnings transcripts, SEC filings, economic data, and prediction markets to build detailed analysis reports. By incorporating this capability into your workflow via Openclaw Skills, you can interact with financial data programmatically without complex data pipeline setups.
The skill operates using a lightweight, dependency-free Python CLI script that interfaces with the FN2 platform. Users can perform one-off deep dives or configure standalone agents to track market activities, making it an efficient tool for analysts, developers, and investors who require structured, reliable financial updates.
FN2 Market Research & Agents Use Cases
- Analyzing specific stock tickers or company fundamentals, such as tracking recent price action or explaining market moves.
- Reviewing and summarizing earnings calls, guidance announcements, or executive commentary.
- Monitoring macroeconomic trends, including Fed rate decisions, inflation data, and employment metrics.
- Creating recurring research agents to generate daily briefs, weekly recap summaries, or earnings-day analysis.
- Conducting competitive analysis or screening companies based on specific financial criteria.
How FN2 Market Research & Agents Works
- The user issues a command or inquiry related to market research, stock tickers, or economic trends.
- The skill invokes a bundled Python CLI script (fn2.py) utilizing standard libraries, executing via the local system's exec tool.
- For standard queries, the script sends an API request to the FN2 platform, which retrieves live, sourced data from SEC filings, earnings calls, and live markets.
- For scheduled queries, the script communicates with the FN2 API to register, schedule, or list research agents.
- The skill receives the processed response in Markdown or machine-readable JSON format and presents the structured insight back to the developer or AI agent.
FN2 Market Research & Agents Setup
Requirements
- Python 3 installed on the host system.
- An FN2 API key.
Installation & Key Configuration
If you do not have an API key, sign up at fn2.ai.
Configure your environment variables as follows:
export FN2_API_KEY=your_fn2_api_key_here
# Optional: Override the API base URL for staging or self-hosted environments
export FN2_API_BASE=https://api.fn2.ai
Verify that the Python script is executable:
python3 {baseDir}/scripts/fn2.py usage
FN2 Market Research & Agents Data Schema & Taxonomy
The skill relies on specific input schemas and handles structured output. The underlying script supports a JSON flag for machine-readable integrations.
| Command Option | Input Parameters | Output Format | Purpose |
|---|---|---|---|
| research | Query string, --model (optional) | Markdown | Performs direct web and database search to output a grounded analysis report. |
| agents create | --prompt, --name, --every, --cron, --timezone | JSON / Text | Registers a scheduled research agent on the FN2 servers. |
| agents list | None | JSON / Text | Lists current agents and their associated IDs. |
| runs get | agent-id, run-id | Markdown / JSON | Retrieves the status and result of a specific agent execution. |
Configuration Metadata
- Requires Binary: python3
- Primary Environment Variable: FN2_API_KEY
- Optional Environment Variable: FN2_API_BASE
FN2 Market Research & Agents Advanced Features
- Scheduled Automations: Create and manage recurrent financial reports with cron expressions or human-readable intervals.
- Model Selection Customization: Override the default LLM engine on the fly using the --model flag during one-off research queries.
- Asynchronous Execution: Launch agent runs in the background and poll their execution status programmatically via the runs CLI options.
- Scoping & Security: Support for fine-grained API token scopes (such as chat, agents, or models) to maintain a secure access model.
SKILL.md
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