How to Analyze Financial Disclosures with OpenClaw
Financial disclosure analysis with OpenClaw and ToolRouter. Extract structured financial data from SEC EDGAR.
ToolSEC FilingsOpenClaw automates financial fact extraction at scale across your research universe. Batch-process XBRL data for hundreds of companies, normalize metrics for cross-company comparison, and output structured datasets ready for your quantitative models, screening algorithms, or research databases.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the SEC Filings tool:
- Ask OpenClaw: "Get financial facts for Amazon"
- OpenClaw extracts structured financial metrics from EDGAR
- Request specific metrics for your analysis
- Compare financial facts across companies
Example Prompt
Try this with OpenClaw using the SEC Filings tool
Extract financial facts for Amazon: revenue, operating income, and free cash flow. Show me the multi-year trend.
Tips
- Financial facts provide machine-readable precision -- no manual data entry errors
- Ask OpenClaw to flag metrics that show significant changes
- Build peer comparison tables using the same financial fact categories across companies