Developer API
LLM carbon footprint API
Estimate and track the CO2e of AI usage from model names and token counts. Built for product teams that need transparent internal reporting without sending prompt text.
No prompt content collected
Chrome, Edge and Firefox
MDM deployment
Token metadata only
Track emissions without collecting text
Send the same metadata your application already receives from LLM providers: model, prompt tokens, completion tokens and optional tenant identifiers.
POST /api/v1/estimate
{
"model": "gpt-4o",
"prompt_tokens": 450,
"completion_tokens": 120
}POST /api/v1/track
{
"model": "claude-3-5-sonnet",
"prompt_tokens": 900,
"completion_tokens": 280,
"tenant_id": "customer_123"
}What teams use it for
Product analytics
Add CO2e next to cost and latency when you monitor AI features in production.
Customer-level views
Use stable tenant identifiers to understand aggregate impact by workspace, customer or project.
Sustainability reporting
Give sustainability teams an explainable view of AI usage and its limits, backed by a public methodology.