0 LWater saved this month
0.0 gEmissions saved this month
0.0% of your monthly budget used · weighted by model footprint · we offset over 200%
Carbon-tracked AI API

Carbon-Tracked AI API for GPT, Claude, Gemini, and More

One OpenAI-compatible endpoint for every frontier model, with the carbon, water and energy of each request measured and returned in the response. Ecoia offsets more than 200% of every call, so your product ships AI that gives back instead of taking.

One line
Change your base URL and key, keep your existing OpenAI SDK
Per request
CO2 and water returned as headers on every single response
>200%
Of each call offset automatically, included in the price
Drop-in

An OpenAI-compatible drop-in

If your code already calls OpenAI, you are one line away from a carbon-tracked AI API.

Change one line of code

Set the base URL to the Ecoia endpoint and swap in your Ecoia key. The request and response shapes match the OpenAI API, so your prompts, streaming and tool calls keep working unchanged.

baseURL points at the Ecoia API
Authorization uses your Ecoia key
Same request body, same response body

Two endpoints, every model

A unified /chat endpoint routes to GPT, Claude, Gemini and more, and a /image endpoint handles generation. Pick a model with a single field instead of juggling four vendor SDKs and four billing dashboards.

/chat for text and reasoning models
/image for image generation
One key, one bill, every provider
In the response

Emissions returned on every call

No second request, no nightly batch job. The footprint travels with the completion.

x-eco-co2-grams

Grams of CO2 attributed to the request, using grid carbon intensity (~0.395 kg CO2/kWh for the US grid) and data-center overhead (PUE ~1.56).

x-eco-water-liters

Liters of cooling and generation water for the request, based on water-use factors of roughly 3.4 L per kWh.

Per-request tracking

Energy is estimated per token or per image by model class, so the numbers reflect the exact work your call did, not a flat average.

Built for teams that have to report

A green AI API that produces audit-ready data, not vibes.

Tracking and offsetting add about 5% on tokens, with offsets already included
Verified offsets retired at over 200% of the measured footprint of your traffic
ESG export of carbon, water and energy as CSV and PDF for Scope 3 reporting
Branded offset certificates for audits and investor decks
10% of all revenue funds conservation, so usage is carbon-negative

Carbon-tracked AI API FAQ

What is a carbon-tracked AI API?

It is an AI inference API that measures the carbon, water and energy used by every request and returns those figures alongside your completion. Ecoia is OpenAI-compatible, so you get the same models you already use plus per-request emissions data and automatic offsetting of more than 200% of each call.

How do I migrate from the OpenAI API?

Change one line. Point your existing OpenAI SDK at the Ecoia base URL and use your Ecoia key. The /chat and /image endpoints accept the same request shapes, so most teams switch in minutes with no code rewrite.

How are emissions returned on each response?

Every response carries emissions as headers, including x-eco-co2-grams and x-eco-water-liters, so you can log, display or aggregate the footprint of each call without a second request. The full methodology is published on our How it Works page.

What does the carbon tracking cost?

Tracking and offsetting add roughly 5% on top of token cost, and that surcharge already includes retiring verified offsets for over 200% of the measured footprint. There are no separate sustainability fees.

Can I export the data for ESG reporting?

Yes. Aggregated carbon, water and energy data is exportable as CSV and PDF for Scope 3 and ESG reporting, including branded offset certificates suitable for audits and investor decks.

Carbon-negative AI

Use AI that gives back more than it takes

Ecoia.ai runs Claude, GPT & Gemini for chat, images and an API, and offsets over 200% of the water usage and carbon emissions your AI creates.