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Sitemap: https://crbonfree.com/sitemap.xml

# CrbonFree

> CrbonFree, by Crbon Labs Inc., measures the carbon, energy and water footprint of a company's AI usage per token, per model and per provider, using a published methodology (v1.2) with an uncertainty band, and retires verified carbon credits against the measured footprint on paid plans. It is for sustainability officers, finance teams and engineering teams that run AI at scale and need a number an auditor can check.

Key facts: tokens are converted to energy and CO2e with published per-tier factors; three layers are reported separately (active energy, facility operation, full lifecycle); every figure carries a plus or minus 28.3 percent band (IPCC Tier 1); measurement never changes because credits were retired; usage arrives through read-only provider keys, a CLI, a browser extension, and is read back through SDKs, an MCP server and a REST API. Pricing: Free for up to 5 team members, with measurement on every surface; usage-based billing adds signed receipts, audit packs and credit retirement for a one-time 1.99 USD setup fee and 0.10 USD per million billable tokens, with no monthly fee and no quota; Enterprise custom.

## Pages

- [Home](https://crbonfree.com/): what CrbonFree does and the live sample account
- [Products](https://crbonfree.com/products): dashboard, TypeScript SDK, Python SDK, MCP server, CLI, browser extension, REST API
- [Pricing](https://crbonfree.com/pricing): the free plan and usage-based billing, with a cost calculator
- [Pricing as plain text](https://crbonfree.com/pricing.md): the same plans in a machine-readable file
- [Methodology](https://crbonfree.com/methodology): the three layers, per-tier factors, uncertainty, sources and a calculator
- [Case study: a year of OpenRouter traffic](https://crbonfree.com/case-studies/openrouter): public usage data run through the methodology
- [Case study dataset](https://crbonfree.com/case-studies/openrouter/data): the monthly figures as JSON
- [Blog](https://crbonfree.com/blog): the questions people ask about AI's footprint, answered with numbers
- [Blog feed](https://crbonfree.com/blog/feed.xml): RSS

## Product

- [Dashboard](https://crbonfree.com/products/dashboard)
- [CLI](https://crbonfree.com/products/cli)
- [TypeScript SDK](https://crbonfree.com/products/typescript-sdk)
- [Python SDK](https://crbonfree.com/products/python-sdk)
- [MCP server](https://crbonfree.com/products/mcp-server)
- [Browser extension](https://crbonfree.com/products/browser-extension)
- [REST API](https://crbonfree.com/products/rest-api)

## Elsewhere

- [App and docs](https://dashboard.crbonfree.com/docs)
- [Verify a receipt](https://verify.crbonlabs.com)
- [Crbon Labs](https://crbonlabs.com)