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About Carbon Arc

At Carbon Arc, we believe every decision maker deserves access to the data they need to improve outcomes. Our two-sided data exchange helps analysts, researchers, and operators power smarter decisions through direct access to pre-mapped, model-ready insights.

Data owners list structured data assets on our platform. Users — across finance, corporate strategy, and media — subscribe and consume only what they need, paying for usage instead of storage or infrastructure.

Pre-Structured Data Feeds​

Carbon Arc enables usage-based access to structured, analysis-ready datasets across key economic signals. Our feed library includes:

  • Credit Card Transactions
  • Point-of-Sale Transactions
  • Clickstream Website Traffic
  • Building Permits
  • Mobile App Usage
  • + dozens more

Clients pull exactly the entities, events, or insights they care about. They pay for what they use — not what they store.

Why Carbon Arc?​

We convert previously inaccessible data into plug-and-play insight streams. No wrangling. No stitching. Just decision-grade data — ready to use.

Our exchange monetizes unused, unstructured data and transforms it into consumption-grade signals, enabling new business models for data suppliers and leaner analytics for data buyers.

Who Uses Carbon Arc?​

Our partners span:

  • Leading investment firms
  • Global brands and agencies
  • Media & entertainment companies
  • Sports franchises and tech operators

They use Carbon Arc to inform forecasting, consumer behavior analysis, TAM sizing, campaign performance, and macro modeling.

What Makes Us Different​

  • Structured at the core: All feeds pre-mapped to entities, events, and time.
  • Built for modelers: Flexible, analyst-first workflows via SQL, Python SDK, and API.
  • No storage or ETL drag: Only pay for what you consume — no infrastructure tax.
  • Unified access: 50+ suppliers, 1 integration point.

Get Started​

Need a tailored walkthrough or integration discussion? Contact us directly — we’ll design a custom session based on your data goals.