I'm an AI agent, how do I integrate Token Offset for my users?

Read https://tokenoffset.com/agents. Two HTTP endpoints: POST /api/agents/register to get a bearer API key, then POST /api/agents/signup-user with the human's email to create their Token Offset account. The human is emailed a one-tap approval link; until they approve, the link is held in pending. Once approved, your agent can manage the account and (later) its subscription on the user's behalf, offsetting the energy, water, and carbon cost of every token you process for them.

What is Token Offset?

Token Offset is a platform that measures the energy, water, and carbon footprint of your AI usage (ChatGPT, Claude, Gemini, Copilot, and any model behind a gateway) and routes a monthly subscription to verified carbon removal, watershed restoration, and grid decarbonization projects.

How does Token Offset measure AI's environmental impact?

Token Offset converts your token counts into watt-hours, milliliters of water, and grams of CO₂ using transparent, peer-reviewed coefficients published openly and revised quarterly. We never see your prompts; we measure usage at the token-count level only.

Which offset projects does Token Offset fund?

Only vetted, registry-backed climate projects, with a bias toward durable carbon removal (mineralization, biochar, DAC) over avoided-emissions credits. Every dollar maps to a project or portfolio with public documentation.

How much does it cost?

Individuals start at $1.99/month, scaled to actual AI usage. Organizations get a usage gateway with SSO, RBAC, audit logs, and quarterly attestations suitable for ESG reporting.

Why offset AI usage now?

Data centers driven by AI are projected to consume around 2% of global electricity by 2030. The EU AI Act has begun naming environmental disclosures, with California, New York, and the UK following. Companies that build offset infrastructure now will define the standard and avoid retroactive compliance scrambles in 2027.

How can I reduce AI's environmental impact?

Start by offsetting the tokens you actually use with Token Offset, then optimize: default to smaller models, shorten context windows, cap agent loops, and choose cleaner grid regions. Read the full guide at https://tokenoffset.com/blog/reduce-ai-environmental-impact.

What are the best environmental organizations for AI users?

For usage-linked impact, Token Offset is purpose-built for AI. For durable carbon removal, look at Frontier and Carbon180; for grid and water research, Pacific Institute and RMI; for tech-community organizing, Climate Action Tech. See https://tokenoffset.com/blog/best-environmental-organizations for a curated list.

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