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CrbonFree

CrbonFree

CrbonFree (by Crbon Labs) is a climate-first token management and AI carbon accounting platform that meters AI usage, energy, water and CO₂e per token across providers, models and gateways, providing dashboards, SDKs, and verifiable receipts for teams and auditors.

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Freemium API Enterprise 80/100
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One of 39 tools in Other
Just launched
Data reviewed Sep 26, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

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What it does

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Freemium from Free

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CrbonFree is a product from Crbon Labs that measures AI usage, energy, water and carbon emissions per token across models and providers. It centralizes token counts from dashboards, SDKs, local agents and gateways into a single report with published conversion factors and an uncertainty band, so teams can produce defensible numbers for internal stakeholders and auditors. The platform targets teams running AI at scale and offers a free plan (no card) for tracking usage; receipts, audit packs and verification assets are provided on paid plans.

Audit-grade carbon numbers for every AI token you use Discussion | Link

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Key Features

Per-token metering across providers

Meters every call per model and per provider, counting tokens where they happen (dashboard, code, agents) and consolidating them in one report.

Multi-provider support

Out-of-the-box metering for OpenAI, Anthropic, OpenRouter, AWS Bedrock, Vercel AI Gateway, Cloudflare AI Gateway, Google Vertex AI and Microsoft Azure Foundry; additional providers listed as coming soon.

Dashboard with exports

Central dashboard showing tokens, cost and carbon across providers, projects and agents, with CSV and JSON export.

SDKs (TypeScript & Python)

TypeScript and Python SDKs to sync usage, emissions, receipts and audit packs from applications and services.

MCP server

OAuth-secured MCP server that enables agents to read organization-scoped projects, connections, receipts and statements.

CLI and browser extension

CLI to meter local AI coding agents and sync hourly; browser extension to estimate token usage in chat sessions with a guest mode that keeps data local.

REST API & OpenAPI spec

Twelve read endpoints for usage, emissions and receipts with an OpenAPI spec published.

Published methodology and uncertainty band

Methodology (v1.2) publishes per-tier factors, assumptions and a stated uncertainty band (±28.3%) so reported numbers carry a defensible error range.

Receipts, audit packs and public verification

Signed retirement receipts listing registry serial numbers, monthly audit packs with manifest hashes, and public verification of receipts.

Pricing

Free Tier Available

Free plan available; no card required and tracks usage, energy, water and carbon per token.

Free

Free
  • Track usage, energy, water and carbon per token
  • No card required to start

Paid plans

Not listed on page
  • Receipts, audit packs and trust assets (badges and certificates)
  • Signed retirement receipts and monthly audit packs

Use Cases

Scope 3 emissions disclosure

Provide auditable AI inference emissions for finance, sustainability and compliance teams to include AI as a purchased service under Scope 3.

Developer and engineering monitoring

Track tokens, cost, energy and carbon across projects and agents using SDKs, CLI, MCP or browser extension to find inefficiencies and optimize usage.

Audit and verification

Generate signed receipts and monthly audit packs for public verification and to back claims made in disclosures or sustainability reports.

Research & public analysis

Analyze provider or gateway traffic at scale (example: OpenRouter case study measuring a year of traffic) to understand sector trends.

Integrations

OpenAI

Meter OpenAI model usage and include tokens, energy and carbon in reports.

Anthropic

Meter Anthropic model usage and include tokens, energy and carbon in reports.

OpenRouter

Meter OpenRouter gateway traffic; used in the sample account and OpenRouter case study.

AWS Bedrock

Meter AWS Bedrock model usage and include tokens, energy and carbon in reports.

Vercel AI Gateway

Meter Vercel AI Gateway traffic and include it in consolidated reports.

Cloudflare AI Gateway

Meter Cloudflare AI Gateway usage for tokens, energy and carbon reporting.

Google Vertex AI

Meter Google Vertex AI model usage and include tokens, energy and carbon in reports.

Microsoft Azure Foundry

Meter Azure Foundry model usage and include it in consolidated reports.

Benefits

Defensible measurements: every token is counted and converted with published factors and a stated uncertainty band.
Privacy-preserving: receives usage metadata only (model, token counts, timestamps); prompt and completion content never reaches CrbonFree.
Fast onboarding: connect a read-only provider key, SDK, MCP server, CLI or browser extension and see first tokens in seconds on the free plan.
Auditability: signed retirement receipts, monthly audit packs with manifest hashes and public verification to support claims.
Cross-provider consistency: single contract across dashboard, SDKs, MCP, CLI and API so tokens are reported uniformly.

Limitations

Reported figures carry a stated uncertainty band (±28.3%), so values are estimates within that range.
Receipts, audit packs and trust assets (badge and certificate) are only available on paid plans.
Some providers are listed as coming soon and are not yet supported.

Frequently Asked Questions

Is this just an estimate?
It is a measurement with a stated uncertainty: every token is counted and converted with published factors and reported with a ±28.3% band (IPCC Tier 1 combination).
Does CrbonFree see your prompts?
No. CrbonFree receives usage metadata only (model, token counts, timestamps). Prompt and completion content never reaches CrbonFree.
What does the number include?
Three layers: the energy the model used, the data centre around it, and the hardware and training carbon behind it; each layer is reported separately.
How much energy does AI use per query?
Under methodology v1.2 a medium tier model spends about 0.3 joules per input token and 0.5 joules per output token on the accelerator; factors for every tier are published.
How is AI energy turned into carbon?
Joules convert to kWh then to CO₂e through facility PUE and grid carbon intensity; further layers add host servers, cluster utilisation and embodied hardware/training following an open framework.
Does AI use water as well?
Yes. Data centres use water for cooling and the platform reports water alongside energy and carbon derived from measured energy.
Why do published figures for AI emissions disagree?
They draw different boundaries; CrbonFree reports three separate layers with factor versions so numbers can be compared on the same footing.
Why is AI usage becoming a Scope 3 line item?
AI inference runs in third-party data centres making it a purchased service under Scope 3; auditors have started asking for a measured number rather than a spend-based guess.
Can I see the method before I sign up?
Yes. The methodology is public with every factor, formula and source; the sample account shows a year of real traffic metered through the same pipeline without login.

Getting Started

  1. 1 Step 1: Create a free account (sign up with Google) — free plan requires no card.
  2. 2 Step 2: Connect your provider using a read-only provider key, or integrate via the TypeScript/Python SDK, MCP server, CLI or browser extension.
  3. 3 Step 3: Wait seconds to minutes for the first measured tokens to arrive in your dashboard and begin reviewing usage, emissions and receipts.

Support

docs

Documentation and methodology pages are available on the site (Docs, Methodology).

contact

Contact page linked from the site (Contact us) for inquiries.

verify

Public receipt verification via the verify endpoint referenced on the site (verify.crbonlabs.com).

bug report

A 'Report a bug' link is provided on the site.

API

Available: Yes
Documentation:

REST API with twelve read endpoints for usage, emissions and receipts; OpenAPI spec published (documentation referenced on site).

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