CarbonLens Emissions Analytics

Example Use Cases

• 1

  Analyze multi-sector greenhouse gas emissions data across countries, states, and cities.

• 2

  Perform temporal and comparative emissions analysis using natural language queries.

• 3

  A secure, scalable MCP-compliant API to integrate emissions data into climate applications.

Description

CarbonLens is a production-grade emissions analytics platform that enables querying 25 years of EDGAR v2024 greenhouse gas data using natural language powered by large language models and the Model Context Protocol (MCP). It supports multi-level geographic granularity, multi-sector emissions data, and offers a secure, high-performance API-first architecture with an interactive Streamlit UI. The platform is designed for researchers, policymakers, and developers to gain actionable climate insights easily and reliably.