How to Batch-Process Stop-and-Search Records with OpenClaw
Batch UK stop-and-search data collection with OpenClaw and ToolRouter.
Tool
OpenClaw handles large-scale stop-and-search data collection across multiple areas and date ranges in a single automated operation, making it suitable for academic research, national-level journalism investigations, and policy analysis projects that need consistent data at scale.
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 Crime Stats tool:
- Run: "Get stop-and-search data for five London boroughs for 2023 using crime-stats"
- OpenClaw returns complete datasets for all locations
- Aggregate and export for analysis in R, Python, or Excel
- Schedule quarterly refreshes to keep research datasets current
Example Prompt
Try this with OpenClaw using the Crime Stats tool
Collect stop-and-search records for all inner London boroughs for 2023 and return as a JSON array with location, outcome, and demographic fields.
Tips
- Pull multiple boroughs in a single run to build city-wide comparison datasets
- Automate annual data pulls to maintain longitudinal research datasets
- Standardise demographic field values in your pipeline before analysis