Water Utility Risk Intelligence

What is Water Utility Risk Intelligence?

Water Utility Risk Intelligence is an MCP server that orchestrates nine government data sources in parallel—OpenAQ, USGS, FEMA, NOAA, Data.gov, Federal Register, CFPB, World Bank, and BLS—and applies four scoring models to produce a structured, multi-dimensional Composite Water Risk Score (0–100) for municipal water systems. It is built for analysts, bond credit teams, and ESG investors who need automated, transparent water risk assessments.

How to use Water Utility Risk Intelligence?

Add the server URL to your MCP client configuration (e.g., Claude Desktop, Cursor, Windsurf). You must have an Apify account and API token. After configuring the client, ask your AI to assess a water system by name—e.g., “Assess the water utility risk for Flint, Michigan”—and results return in 60–120 seconds.

Key features of Water Utility Risk Intelligence

• Four independent scoring models for vulnerability, infrastructure, drought, and affordability
• Composite Water Risk Score (0–100) from a weighted average of four dimensions
• 18 tracked contaminant types including PFAS, lead, arsenic, and microplastics
• Parallel data fetching from nine government sources under 2 minutes
• 8 MCP tools for full assessments or focused queries
• Spending limit guard to prevent runaway charges

Use cases of Water Utility Risk Intelligence

• Municipal bond credit analysis for water revenue bonds
• ESG portfolio water risk screening across municipal and corporate holdings
• PFAS and contaminant monitoring via Federal Register rulemaking tracking
• Water utility peer benchmarking with standardized per‑dimension scores
• Climate adaptation and infrastructure planning using compound risk quantification
• Affordability and equity analysis combining CFPB, BLS, and World Bank data

FAQ from Water Utility Risk Intelligence

What is the Composite Water Risk Score?

It is a weighted average of four dimension scores—water vulnerability (30%), infrastructure risk (25%), drought/climate (25%), and affordability stress (20%)—scored 0–100 with a named verdict from LOW_RISK to CRITICAL.

What data sources does it use?

It queries nine sources: OpenAQ, USGS, FEMA, NOAA, Data.gov, Federal Register, CFPB, World Bank, and BLS. All sources are fetched in parallel for full reports.

How much does each tool call cost?

Each MCP tool costs $0.045 per invocation, regardless of the number of data sources queried.

What are the runtime requirements?

You need an Apify account and API token, plus any MCP‑compatible AI client (Claude Desktop, Cursor, Windsurf, etc.). The server runs on Apify and can stay warm in standby for low latency.

What transport and authentication does the server use?

The server uses MCP over HTTP via a provided URL. Authentication is handled by your Apify API token, configured in the client.