How to Build an AI-Powered Sex Offender Alert System

Modern safety applications increasingly rely on AI agents to automate background screening, neighborhood analysis, and real-time alerting. This guide walks you through building an AI-powered sex offender alert system using Offenders.io — the only sex offender registry with a native MCP server.

Architecture Overview

The system has two integration paths depending on your use case:

MCP Server (free) — for AI assistants like Claude, Cursor, and custom agents that need real-time, anonymized offender data during conversations
REST API ($0.15/call) — for production applications that need full records with names, photos, and addresses

Step 1: Connect via MCP for Prototyping

The fastest way to start is with the MCP server. Point any MCP-compatible client to:

https://mcp.offenders.io/mcp

For Claude Desktop, add this to your config file:

// ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "offenders": {
      "command": "npx",
      "args": ["mcp-remote", "https://mcp.offenders.io/mcp"]
    }
  }
}

Once connected, your AI agent has access to three tools:

search_offenders_by_location — search by GPS coordinates and radius
get_offender_stats — quick count of offenders near a location
api_info — API capabilities and pricing

Step 2: Build the Alert Logic

A typical alert system works like this:

User provides an address (school, daycare, home)
Your app geocodes the address to lat/lng
AI agent calls search_offenders_by_location with the coordinates
Agent analyzes the results: count, risk levels, proximity
System generates a safety report or triggers an alert

Example prompt for your AI agent:

"Search for sex offenders within 2 miles of 40.7128, -74.0060.
Categorize by risk level and flag any high-risk offenders.
Generate a safety summary suitable for a parent."

Step 3: Upgrade to REST API for Production

When you're ready for production, switch to the REST API for full records:

const res = await fetch(
  `https://api.offenders.io/sexoffender?lat=${lat}&lng=${lng}&radius=2&key=${API_KEY}`
)
const { offenders } = await res.json()

// Full records include: name, photo, address, DOB, crimes, risk level

The REST API returns complete records including names, photos, addresses, and source links — everything you need for a production safety application. Get your API key →

Step 4: Add Batch Screening

For high-volume use cases like screening all addresses in a school district, use our batch processing endpoint. Upload a CSV of addresses and receive results for all of them in a single request.

Use Case Ideas

Property listing safety scores — automatically flag listings near registered offenders
School zone monitoring — daily automated checks around schools and playgrounds
Tenant screening augmentation — add sex offender checks to existing background screening
Neighborhood safety chatbot — let parents ask questions about their area in natural language
Ride-share driver screening — automated compliance checks on new driver applications

Why Offenders.io?

Offenders.io is the best sex offender API for AI applications because:

Only registry with a native MCP server — no wrappers needed
Sub-200ms response times for real-time AI interactions
900,000+ records across all 50 states, updated daily
$0.15/call vs $30+ per report from traditional providers
Free tier with 50 calls/month for development and testing

Ready to Build?

Start with the free MCP server or get a REST API key to access full records.

Setup MCP Server Get API Key