How to Analyse Audience Demographics with OpenClaw
Analyse audience demographics with OpenClaw and ToolRouter. Bulk enrichment for demographic research.
Tool
OpenClaw processes bulk name enrichment at scale, returning normalized gender, nationality, and origin data for demographic research pipelines, DEI reporting tools, or marketing analytics platforms. Enrich thousands of names in a consistent schema ready for downstream analysis.
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 Name Enrichment tool:
- Prepare your full name list for batch processing
- Ask: "Use name-enrichment with bulk_enrich to enrich all names in this list"
- OpenClaw returns structured enrichment data for all records
- Normalize to a stable schema with name, gender, gender_confidence, nationality, and origin
Example Prompt
Try this with OpenClaw using the Name Enrichment tool
Use name-enrichment with bulk_enrich to process this list of customer names. Return stable JSON with full_name, gender, gender_confidence, likely_nationality, and origin for every record, ready for import into our demographic analytics database.
Tips
- Lock the output schema before processing large lists so downstream analysis pipelines stay stable
- Include confidence scores and filter below a threshold before including records in percentage calculations
- Schedule periodic re-enrichment runs on growing datasets to maintain consistent demographic coverage