How to Analyse Crime Statistics with OpenClaw
Automate UK crime data collection with OpenClaw and ToolRouter. Batch crime statistics across multiple locations.
Tool
OpenClaw handles batch crime data collection across many postcodes in a single run, making it the right choice for property platforms, insurance risk models, or research projects that need consistent data across dozens or hundreds of locations. It returns structured results ready for downstream analysis without manual intervention.
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: "Search crimes for postcodes SW1A 1AA, E1 6RF, and M1 2AD using crime-stats"
- OpenClaw returns crime data for all locations in structured JSON
- Pipe results into your analysis pipeline or database
- Schedule regular runs to track how crime rates change over time
Example Prompt
Try this with OpenClaw using the Crime Stats tool
Collect crime statistics for postcodes SE1 7PB, SW1A 2AA, and EC1V 7QE for the past three months. Return results as a single JSON array grouped by postcode.
Tips
- Process multiple postcodes in one prompt to build area comparison datasets
- Store dated results to build a historical crime trend database
- Filter to specific crime categories to reduce noise in risk scoring models