How to Get Neighbourhood Crime Data with ChatGPT
Access UK crime statistics with ChatGPT and ToolRouter. Understand crime trends by location and category.
Tool
ChatGPT turns raw crime counts into coherent narratives — explaining what different crime categories mean in practice, contextualising figures against city-wide rates, and drafting readable summaries for reports or presentations. It is well suited to producing structured area profiles that combine crime data with demographic or transport context.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
Steps
Once connected (see setup above), use the Crime Stats tool:
- Ask: "Search crimes for postcode E1 6RF using crime-stats"
- ChatGPT returns crime categories, counts, and street-level detail
- Request: "Write a one-page area safety summary suitable for a letting brochure"
- Follow up: "Flag any categories that appear higher than typical London neighbourhoods"
Example Prompt
Try this with ChatGPT using the Crime Stats tool
Pull crime statistics for the postcode M1 2AD for the past year and write a brief safety overview a prospective tenant would find useful.
Tips
- Ask ChatGPT to format results as a table for easy comparison
- Request comparisons against the broader local authority average
- Combine with neighbourhood demographic data for a fuller area profile