CarbonLens FAQs

Question 1

What is CarbonLens and what does it do?

Accepted Answer

CarbonLens is a production-ready platform for analyzing multi-sector greenhouse gas (GHG) emissions data. It allows users to query 25 years of EDGAR v2024 datasets with geographic granularity (cities to countries) using natural language, powered by LLMs and the Model Context Protocol (MCP).

Question 2

Is CarbonLens suitable for enterprise use?

Accepted Answer

Yes, CarbonLens is designed for enterprise environments. It includes robust security features like SQL injection prevention, input validation, and secure credential management, and is built for Docker deployment with an API-first approach.

Question 3

What kind of emissions data can CarbonLens analyze?

Accepted Answer

CarbonLens analyzes multi-sector emissions data, including transport, power, industry, agriculture, and more. It provides historical data from 2000-2024 with monthly and yearly resolution, across various geographic levels like cities, states/provinces, and countries.

Question 4

What is the Model Context Protocol (MCP) in CarbonLens?

Accepted Answer

The Model Context Protocol (MCP) is a standardized protocol integrated into CarbonLens, providing a consistent and production-grade interface for accessing and managing emissions data. It ensures reliable data access and interaction within the platform's architecture.

Question 5

How do I query data with CarbonLens?

Accepted Answer

You can query data using a natural language interface, asking questions in plain English. CarbonLens uses LLMs for conversational analysis and features Smart Entity Resolution to automatically handle location aliases, fuzzy matching, and geographic level detection.

CarbonLens

CarbonLens

Key Features

Use Cases

Key Features

Use Cases