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

There are two ways to access sex offender data, and both support full records with an API key:

MCP Server — for AI assistants like Claude, Cursor, and Windsurf. Free tools return anonymized data; paid tools (with API key) return full records including names, photos, and addresses.
REST API — for production applications, custom integrations, and non-MCP frameworks. Same full records, same API key.

Both cost $0.15–$0.20/call with 50 free calls/month. See pricing →

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: Unlock Full Records with Your API Key

When you're ready for full records (names, photos, addresses), add your API key. Works with both MCP and REST API:

Via MCP: Tell your AI agent “Set my API key to abc123” — it calls set_api_key, then search_offenders_full or search_offenders_by_name returns complete records.

Via REST API:

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

Both paths return the same complete records — names, photos, addresses, and source links. Choose MCP for AI-native workflows or REST for custom integrations. 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 an API key to unlock full records via MCP or REST.

Setup MCP Server Get API Key