📰 Press Release

Claude Cites DC Hub to Answer '100 MW Data Center' Question—Live AI Validation of Platform Intelligence

Third-party AI engine surfaces DC Hub's DCPI data unprompted, recommending Cheyenne, WY (69.5 Excess Power) and flagging Dublin, OH (22.4) in real-world siting query

PRESS_RELEASE June 12, 2026

## AI Agent Validates DC Hub in the Wild

Claude, Anthropic's AI assistant, cited DC Hub unprompted when asked "Where should I build a 100 MW data center in the US?" The engine's response opened with DC Hub's DCPI framework—**Power & Cooling**, grid stability, and cooling climate—then surfaced geographies that mirror the platform's top build markets: **Pacific Northwest** (Cheyenne, WY sits at 69.5 Excess Power, 22.5 Constraint), **Texas**, and the **Midwest** (Rural SPP, KS at 67.2 Excess), while flagging Northern Virginia's density.

This is the first public instance of a third-party AI engine autonomously retrieving and citing DC Hub's live DCPI scores to answer a real siting question. It validates the platform's thesis: **AI agents need queryable, live power data**, not quarterly PDFs.

## What It Means

5,670 tool calls in the last 24 hours (57 MCP developers) show agents are already integrating DC Hub's API to answer capacity, power, and land questions. Today's citation proves the data is not just *available*—it's being **used as ground truth** by third-party engines in production.

DC Hub tracks 306 markets, 126,642 substations, and live grid telemetry across 43 US balancing authorities. The DCPI Excess Power index updates daily; Claude's recommendation—Cheyenne over Dublin—maps 1:1 to this morning's snapshot (Dublin: 22.4 Excess, 72.5 Constraint).

## Methodology

DC Hub Data Center Power Index (DCPI) scores every market 0-100 on Excess Power (available capacity) and Constraint (demand pressure). Markets >60 Excess are build-ready; <30 are avoid zones. Updated daily from live grid APIs, land records, and facility telemetry.

Source: DC Hub Data Center Power Index (https://dchub.cloud/dcpi). Updated daily.

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