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Python tool aggregates public data to assess water utility risk

By PulseAugur Editorial · [1 sources] ·

A developer has created a tool using Python and MCP to assess the risk factors for water utilities. The tool aggregates data from nine different government APIs, including USGS, FEMA, and NOAA, to generate a composite risk score. This score is broken down into four categories: water vulnerability, infrastructure, drought/climate, and affordability, with transparent models and five possible verdicts ranging from CRITICAL to LOW_RISK. The system is available on the Apify Store and aims to provide a screening-level assessment rather than a detailed engineering audit. AI

IMPACT Provides a novel method for assessing infrastructure risk using publicly available data and transparent models.

RANK_REASON The item describes a specific tool built by a developer, not a major industry release or research.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Python tool aggregates public data to assess water utility risk

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The item describes a specific tool built by a developer, not a major industry release or research.
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Oaida Adrian ·

    How I Built a Water Utility Risk Intelligence Tool With Python and MCP

    <p>Water utilities fail slowly: aging pipes, drought pressure, unaffordable rates, crumbling infrastructure. The data to assess all of it is public — you just need to pull nine different government APIs and score what comes back. That's the tool I built.</p> <h2> The gap </h2> <p…

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