Get a Crime Overview for Any UK Neighbourhood
Pull crime statistics for any UK postcode or street to understand local safety trends at a glance.
Analyse Stop-and-Search Data by Location
Access UK stop-and-search records by area to examine policing patterns, outcomes, and demographic breakdowns.
Quick answer: Use the Crime Stats tool through ToolRouter to analyse stop-and-search data by location directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolStop-and-search is one of the most scrutinised police powers in the UK, yet the data behind it is fragmented across 43 force websites and updated at different intervals. Researchers, journalists, and civil society organisations trying to examine disparities in how the power is used face hours of data wrangling before any analysis can begin.
The stop_and_search skill queries structured records from police.uk — returning stop outcomes, self-defined ethnicity, age range, legislation used, and whether an object was found. Data is available by location and date range, making it possible to isolate specific areas, periods, or forces for targeted analysis.
Academic researchers, investigative journalists, legal teams, and policy advocates use this to build evidence-based arguments about policing disparities without relying on freedom of information requests.
How to analyse stop-and-search data by location with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Connect ToolRouter
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
Claude can interpret stop-and-search data through multiple lenses — calculating outcome rates by demographic group, identifying whether search rates in an area correlate with crime levels, and flagging statistical patterns that warrant further investigation. It brings analytical rigour to a dataset that is easy to misread without contextual interpretation.
How to analyse stop-and-search data by location
Once connected (see setup above), use the Crime Stats tool — the same steps work with Claude, ChatGPT, Microsoft Copilot, OpenClaw, and any MCP client:
- Ask: "Get stop-and-search data for Hackney for the past six months using crime-stats"
- Claude returns records with outcomes, demographics, and legislation used
- Ask: "What percentage of stops resulted in an arrest, broken down by self-defined ethnicity?"
- Request: "Are there any patterns here that would be worth investigating further?"
Example prompt
Try this with the Crime Stats tool
Pull stop-and-search records for Brixton for January to June 2024. Calculate outcome rates by demographic group and flag any statistically notable disparities.
Tips
- Compare outcome rates across demographic groups rather than raw stop counts for a fairer analysis
- Ask Claude to note sample size limitations — small counts can produce misleading percentages
- Combine with local crime data to contextualise whether stop rates reflect crime patterns
Frequently Asked Questions
How do I analyse stop-and-search data by location with an AI assistant?
Access UK stop-and-search records by area to examine policing patterns, outcomes, and demographic breakdowns. Connect the Crime Stats tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask: "Get stop-and-search data for Hackney for the past six months using crime-stats" Claude returns records with outcomes, demographics, and legislation used
Which AI assistants can analyse stop-and-search data by location?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all analyse stop-and-search data by location using the Crime Stats tool through ToolRouter, with no API keys or coding required.
What does the Crime Stats tool do?
Access UK crime statistics by location, category, and time period, including stop-and-search data.
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