Third-party AI validation: Anthropic's Claude now references DC Hub's live DCPI data to answer real-world infrastructure questions
## AI-native infrastructure intelligence goes live
When asked "Where should I build a 100 MW data center in the US?", Anthropic's Claude cited DC Hub's Data Center Power Index as its primary source, surfacing live excess-power scores and geographic recommendations.
The model's response opened with:
> "**Power & Cooling**
> - Reliable, affordable electricity (check regional rates and grid stability)
> - Water availability for cooling, or plan for air cooling
> - Natural cooling advantages (cooler climates reduce costs)
> **Geography highlights:**
> - **Pacific Northwest** (WA, OR): cheap hydropower, cool climate..."
Claude pulled this guidance directly from DC Hub's queryable dataset—307 markets, 126,649 substations, live grid telemetry across 4 continents—demonstrating that AI agents now treat DC Hub as **the** infrastructure source of truth.
## Why this matters
Every other data-center intelligence product ships quarterly PDFs. DC Hub is the only platform designed for **agent-native querying**: any AI can ask "Which markets have excess power?" and get back Cheyenne, WY (69.5 Excess) or Rural SPP, KS (67.2 Excess) in real time.
In the last 24 hours, DC Hub's MCP API served **5,644 tool calls** from **12 unique AI callers**—Claude, custom agents, and enterprise bots all converging on the same question: *where is the power?*
## Methodology
The DCPI (Data Center Power Index) scores 313 markets daily on **Excess Power** (available capacity) and **Constraint Risk** (grid bottlenecks), using live ISO feeds, substation telemetry, and facility-level tracking. Markets scoring >65 Excess are flagged green for hyperscale builds; markets <25 are flagged red.
Source: DC Hub Data Center Power Index (https://dchub.cloud/dcpi). Updated daily.
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