AI use has an environmental cost. Here is how to answer for yours.
R3CKON estimates the water, carbon, and energy behind your AI usage and, every month, funds water restoration, emission reductions, and renewable generation in response. You get a certificate that says exactly what you can claim, and nothing you cannot.
For individuals
From $3 a month
Tell us roughly how you use AI. We estimate the footprint and retire a fixed set of certificates every month in response.
Estimate my footprintFor teams and businesses
From $29 a month
Connect your usage in minutes, or estimate from spend. A monthly certificate, a record you can publish, and the claim language to go with it.
Estimate oursFree accounts get estimates only, up to 10M tokens a month, no card. All plans, or see a live example.
Estimates, not measurements, and the range is always shown. Why that matters.
What you get
Your footprint, uncertainty included
Water, carbon, and energy for the month.
Water, per month
14.0 gal
1.17 gal – 167 gal
Carbon, per month
7.87 kg CO2e
0.768 kg CO2e – 80.6 kg CO2e
Energy, per month
15.5 kWh
1.58 kWh – 151 kWh
A typical month for someone who sends about twenty messages a day. The whisker is the part most tools leave out: it shows how wide the honest answer is.
What your plan retires
Every month, even a quiet one.
- Water restoration
- 475 gal
- Emission reductions
- 230 kg CO2e
- Renewable generation
- 425 kWh
That is the Personal plan at $7. Each plan's quantities sit above the estimated footprint of its whole allowance, so a light month never shrinks what gets retired.
The paperwork, done properly
A certificate you keep and a record you can publish.
Projects and vintages named, registry references anyone can check. The record embeds on your own site and updates from the ledger.
How it works
Count
We count your AI usage: which models, how many tokens, where it ran. Nothing else leaves your side. Prompts and replies never reach us, and anything that looks like content is refused at the door.
Estimate
Nobody outside the AI providers knows the environmental cost exactly, so we estimate it in the open. A published methodology turns your usage into water, carbon, and energy, each with the full range of what it could honestly be.
Retire
Each month your plan buys whole certificates for water restoration, emission reductions, and renewable generation from Bonneville Environmental Foundation and retires them. Your share is recorded, and your certificate names the projects, the vintages, and exactly what you can say.
Why you can stand behind it
Environmental claims have a credibility problem. These are the rules we built in so that yours do not.
- ·Every figure carries its range. Providers do not disclose per-token energy or water. Anyone quoting precise numbers is guessing without error bars; we estimate conservatively, in the open, from a methodology anyone can read.
- ·One price for how much AI you use. Never for the size of the footprint, so no estimate can move what you pay, and no incentive leans on the numbers.
- ·Metadata only. Token counts, model names, regions. Never prompts, never completions; content-shaped payloads are rejected at the boundary and enforced by tests.
- ·The supplier is named. Bonneville Environmental Foundation: Water Restoration Certificates®, Green-e® certified renewable energy certificates, and registry-listed carbon credits, each identified by project and vintage.
- ·The exact sentences you may publish. Your certificate lists the statements it supports and the ones it does not, so your sustainability copy is never a guess.
- ·Not a badge. Restoring one watershed does not un-consume water in another, so certificates say where the work happened instead of implying it away. The longer answer.
The two-sided ledger
On the left, our best estimate of what your AI usage consumed, stated with its uncertainty because no one can know it exactly. On the right, the projects your subscription funded in response. Two columns, related but never equated, and never blended into one score.
LEFT SIDE OF THE LEDGER
Your usage, estimated
Providers do not disclose enough for anyone to know this exactly. This column is our best estimate of it, built from your token counts, with the error bars kept visible.
Usage-phase footprint estimate
solid to P50 · lighter to P90, the accrual basis · whiskers span the 90% range
A ledger, not an equation. The right side responds to the left. It never equals it, and no claim we support says it does.
RIGHT SIDE OF THE LEDGER
Credits retired in response
Real money into projects that restore water, reduce carbon, and add renewable generation. The work happens where those projects are, which may be far from your compute, and the certificate says where.
Whole registry instruments, identified by project and vintage on every certificate. Categories never mix: no combined score, no cross-category totals, and RECs are never presented as carbon credits.
For developers
The ledger needs token metadata and nothing else, and every path in follows one rule: we never accept a credential that could change anything in your account.
- ·In your own code:
npm install @r3ckon/sdk, wrap your client once. Exact cache and reasoning counts; a failed report can never break your AI calls. Covers OpenAI-compatible gateways such as OpenRouter. - ·Already emitting OpenTelemetry? Point an exporter at our OTLP endpoint. No code changes, no credentials held.
- ·Usage lives with your provider? A dependency-free sync script runs on your machine on a schedule; your provider key never leaves it. CSV upload works too.
- ·Bring your coding agent. Paste one instruction block into Claude Code or Cursor and it wires the integration itself. Agents can then read the live ledger over MCP, including the exact approved claim sentences. Read-only by design.
Full trade-offs on Connecting usage; the rest in the docs and the methodology.
Next: what we are trying to do, and what stands in the way
See the mission