Data Center Siting Intelligence FAQs

Question 1

What is Data Center Siting Intelligence?

Accepted Answer

It's an AI-powered server that provides comprehensive, automated intelligence for data center site selection. It synthesizes data from 8 government sources through 4 scoring models to rapidly assess location viability.

Question 2

How does it assess the viability of a data center site?

Accepted Answer

The tool uses four independent scoring models – Power Availability Index, Natural Hazard Composite, Cooling Efficiency Rating, and Site Viability Score. These are combined using a weighted formula to produce an overall site ranking and a clear verdict (e.g., PRIME_SITE, NOT_RECOMMENDED), along with actionable recommendations.

Question 3

Which data sources does it integrate for its assessments?

Accepted Answer

It integrates 8 government data sources including USGS seismic catalogs, NOAA weather alerts, OpenAQ air quality, EIA power grid data, FEMA disaster records, UK flood warnings, Nominatim geocoding, and global weather forecasts.

Question 4

What are the main benefits for data center real estate teams?

Accepted Answer

It automates weeks of manual desk research into seconds, providing multi-source site screening at a fraction of the cost. Teams gain rapid insights into power availability, natural hazard exposure, cooling potential, and overall suitability, enabling faster, data-driven decisions.

Question 5

Can this tool be integrated with AI agents and existing workflows?

Accepted Answer

Yes, it's designed as an MCP server, making it directly callable by AI agents like Claude Desktop or Cursor. It also offers API access for integration into Python, JavaScript, or any HTTP client, allowing for custom workflows and scheduling via the Apify platform.

Data Center Siting Intelligence

Data Center Siting Intelligence

主な機能

ユースケース

主な機能

ユースケース