CrbonFree
AICrbonFree meters the energy and carbon of every AI token across providers, with published factors, uncertainty bands and audit-ready retirement receipts.
CrbonFree
CrbonFree meters the energy and carbon of every AI token across providers, with published factors, uncertainty bands and audit-ready retirement receipts.
About CrbonFree
CrbonFree measures the energy, water and carbon footprint of an organization's AI usage per token, per model and per provider instead of estimating it from cloud spend. Teams connect OpenAI, Anthropic, OpenRouter, AWS Bedrock, Vertex AI, Azure Foundry and AI gateways via a read-only key, TypeScript or Python SDK, remote MCP server, CLI for local coding agents, or a browser extension for chat apps. Only usage metadata (model, token counts, timestamps) is collected, never prompt content. Emissions are computed with a versioned public methodology that reports accelerator energy, data-centre overhead and embodied hardware/training carbon as separate layers, with a ±28.3% IPCC Tier 1 uncertainty band. Paid plans add signed carbon-credit retirement receipts on the American Carbon Registry or BCarbon Registry, monthly audit packs with a verifiable manifest hash, and badges for Scope 3 disclosure.
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Key Features
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Frequently asked questions about CrbonFree
What is CrbonFree?
CrbonFree meters the energy and carbon of every AI token across providers, with published factors, uncertainty bands and audit-ready retirement receipts.
How does CrbonFree work?
CrbonFree works by combining Per-Token Carbon Metering: Counts every token by model and provider and converts it to energy, CO2e and water using versioned, published factors., Multi-Provider Coverage: Connects OpenAI, Anthropic, OpenRouter, AWS Bedrock, Google Vertex AI, Azure Foundry, Vercel and Cloudflare AI Gateways into one report., Many Ingestion Surfaces: Read-only provider keys, TypeScript and Python SDKs, an OAuth-secured remote MCP server, a CLI for local coding agents and a Chrome/Edge extension for ChatGPT, Gemini and Claude., Layered Methodology with Uncertainty: Reports model energy, data-centre overhead and embodied hardware/training carbon separately, each with a ±28.3% uncertainty band., Metadata-Only Privacy: Receives only model, token counts and timestamps — prompt and completion content never leaves your systems. to help users with Scope 3 Reporting: Sustainability teams produce defensible AI emissions figures for disclosures instead of spend-based guesses., Engineering Carbon Visibility: Track the footprint of coding agents like Claude Code across a dev team via the CLI., Model Selection by Footprint: Compare energy and carbon per provider and model tier when choosing models for production workloads., Carbon Offsetting with Proof: Retire credits against measured AI usage and share verifiable receipts with auditors or customers., Board and Auditor Requests: Hand auditors monthly audit packs with verifiable hashes when asked for AI emissions data..
What are the main features of CrbonFree?
Key features include Per-Token Carbon Metering: Counts every token by model and provider and converts it to energy, CO2e and water using versioned, published factors., Multi-Provider Coverage: Connects OpenAI, Anthropic, OpenRouter, AWS Bedrock, Google Vertex AI, Azure Foundry, Vercel and Cloudflare AI Gateways into one report., Many Ingestion Surfaces: Read-only provider keys, TypeScript and Python SDKs, an OAuth-secured remote MCP server, a CLI for local coding agents and a Chrome/Edge extension for ChatGPT, Gemini and Claude., Layered Methodology with Uncertainty: Reports model energy, data-centre overhead and embodied hardware/training carbon separately, each with a ±28.3% uncertainty band., Metadata-Only Privacy: Receives only model, token counts and timestamps — prompt and completion content never leaves your systems..
Who is CrbonFree for?
CrbonFree is useful for anyone interested in Scope 3 Reporting: Sustainability teams produce defensible AI emissions figures for disclosures instead of spend-based guesses., Engineering Carbon Visibility: Track the footprint of coding agents like Claude Code across a dev team via the CLI., Model Selection by Footprint: Compare energy and carbon per provider and model tier when choosing models for production workloads., Carbon Offsetting with Proof: Retire credits against measured AI usage and share verifiable receipts with auditors or customers., Board and Auditor Requests: Hand auditors monthly audit packs with verifiable hashes when asked for AI emissions data..
How much does CrbonFree cost?
CrbonFree offers a free tier with paid plans for advanced features.
How do I get started with CrbonFree?
Visit https://crbonfree.com/ to sign up and explore CrbonFree.
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