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Data owners list their assets on the platform, where model builders, decision-makers, and analysts can access them to generate insights. This two-sided exchange enables users to pay for insights while abstracting away the underlying data, storage, and compute costs through a consumption-based payment model.
A collection of sector-focused data visualizations. Dashboards weave data sources together, displaying essential metrics for industries like Beauty & Cosmetics, Restaurants, Home Improvement, and more.
Enable analysts to view key trends, KPIs, and insights structured by segment and category. Users can consume data through Carbon Arc’s web platform or in downloadable format.
The platform tools enable users to build frameworks, returning data on only the entities, insights, time, and space filters they care about. Users construct and pull data to the exact parameters they need, paying for what they consume.
API consumption controlled by a self-funded wallet, easy to pull Python code, and structured outputs that are analysis-ready from the start.
Trillions of transactions aggregated and transformed into powerful data structures. The platform uses data to generate actionable insights, driving informed decision-making for businesses worldwide.
Common ontology and entity representations create consistency across datasets, allowing users to crosswalk datasets to generate insights.
Carbon Arc’s MCP Server connects AI agents with an underlying data asset consisting of over 70 trillion real-world transactions, allowing users to generate powerful insights through simple natural language queries
With MCP, insights flow seamlessly into existing workflows. Users get real-time, secure, and affordable intelligence that drives decisions and unlocks new opportunities.
