Open Policing Data Hub
Pop Datasets logo
ChatGPT app

Use Pop Datasets in ChatGPT

Search problem-oriented policing research and aggregate crime data, then build cited, locally grounded SARA response plans in ChatGPT.

Publishing status

Prepared for the public ChatGPT directory

The production MCP server, privacy and support pages, app metadata, logo, and review cases are ready for OpenAI submission. Until OpenAI approves and publishes the app, developer mode remains the way to test the same production tools in ChatGPT.

Publication is subject to OpenAI review and is not guaranteed. Once published, users will be able to discover Pop Datasets in ChatGPT without creating a custom app.

Test now

Connect the production app
  1. In ChatGPT, open Settings → Security and login and enable Developer mode.
  2. Open Settings → Plugins and create a developer-mode app.
  3. Name it “Pop Datasets” and paste this deployment's MCP endpoint.
  4. Confirm that ChatGPT discovers nine read-only tools.
Open ChatGPT plugins

Developer-mode apps require a public HTTPS endpoint. This deployment needs no Pop account and exposes no write actions.

Step 2

Start a conversation

In a new chat, select Pop Datasets from the + menu under More. ChatGPT can then use:

  • search and fetch for guides, projects, policies, sources, and datasets
  • find_agencies for structured agency discovery
  • get_agency_context for aggregate trends, NIBRS summaries, and comparable agencies
  • find_pop_projects for filtered historical project examples
  • find_data_sources and find_policy_documents for public publisher links
  • compare_agencies for bounded descriptive trend comparisons
  • assess_agency_data for coverage, freshness, and missing-data checks

The app supplies sources and aggregate data; ChatGPT drafts the explanation or plan. Treat generated plans as decision support requiring local validation and human review.

Test prompts

Try the full retrieval and planning flow
  • What does POP research say about thefts from cars in parking facilities? Cite the guides you use.
  • Fetch Guide 71 and draft three alternative SARA response plans for recurring vehicle break-ins downtown.
  • Find Texas city agencies with NIBRS data and explain what local data I would need before comparing their burglary patterns.
  • Find California calls-for-service open-data sources and flag licensing and privacy caveats.
  • Find public use-of-force policies from North Carolina agencies and explain how I should verify that they are current.
  • Compare property-crime rates for Arlington (TX2200100) and Austin (TX2270100) from 2019–2023 without treating the result as a performance ranking.
  • Assess Arlington Police Department's data readiness before drafting a local SARA plan. Use ORI TX2200100.
  • Build an assessment framework for a POP response, including baseline, outcome, displacement, and equity measures.

App listing copy

Submission-ready description
Name
Pop Datasets
Subtitle
Policing research & data
Category
Education
Description
Find problem-oriented policing guides and projects, public police policies, open-data sources, and aggregate U.S. agency data. Pop Datasets helps users compare bounded historical trends, assess local data readiness, cite original sources, and draft SARA response plans with clear assumptions, alternatives, equity considerations, and assessment measures.

The app is read-only, requires no account, and uses public research and aggregate agency-level data. It does not provide real-time incidents, criminal records, or information about individual people.

Want to inspect the underlying records first? Start with the POP guides, project library, or SARA model. See the Privacy Policy and support page. Use of the app is subject to the Terms of Use and Data Disclaimer.