WattScope

WattScope helps teams see the carbon cost of the AI they are already using. Ask Claude to ▎ record a piece of work and it attributes the estimated footprint to your organisation and to ▎ a project, then reports it back — per session, per project, or organisation-wide. Every figure is an estimate, and carries the strength of the evidence behind it.

Documentation

Your team, in Claude

Ordinary work, in the tool they already use. Nobody changes how they do their job.

WattScope, riding along

A figure you can defend

Dashboard, CSV export, or ask Claude directly. One number, and the grade that travels with it.

The connector never sees your vendor account — it authenticates you, and reads only the usage your own AI client reports.

Every figure carries its source grade

Where a number came from decides what it can be used for. WattScope never averages across that boundary, and never quietly promotes a weaker figure to a stronger one — the grade travels with the row, from the moment it is recorded through to the export.

GradeWhat it meansClass
Vendor Admin APIToken counts pulled from the vendor's own usage API, reconcilable against the bill. The strongest provenance available.Billing-grade
Transcript syncToken counts read from the conversation transcript the vendor returned. Machine-recorded, but not reconciled against a bill.Indicative
Client-measured (OTLP)Token counts exported by the AI client's own instrumentation as the work happened. Machine-recorded, and trusted as far as the client is.Indicative
Self-reportedToken counts entered by hand, by a person or by an assistant acting for one. Unverified: nothing checks them against the vendor.Indicative

How it works

1. Connect once. Add WattScope as a connector in Claude and sign in here. No API key, no credential handed over, nothing for your security team to review — the connector authenticates you, not your vendor account.

2. Usage is attributed as it happens. Calls are recorded against your organisation and, where the client reports it, the project they belong to. Exact per-call token counts arrive through your AI client's own telemetry export, so nothing has to be estimated that can be counted.

3. Read it back anywhere. Ask Claude directly, open the dashboard, or export CSV. Every surface shows the same graded split, because they all read it from the same place.

What it costs

WattScope is free while it is in early access. There is no paid plan, no card to add and no trial that expires — the whole product described on this page is what a free account gets.

The one limit that comes with it: each organisation may record up to 50,000 usage events per day. That is a stated term of the free tier rather than a threshold we reserve the right to invent — it is read from this deployment's own configuration, and it is the same number the service enforces when usage is recorded. If you expect to need more, tell us before you hit it rather than after.

What this does not claim

These are estimates, not measurements. No provider publishes per-token energy figures for hosted models, so the energy behind each call is inferred from public analyses of whole-query energy use and is uncertain by a factor of several in either direction. WattScope reports the estimate, the assumptions behind it, and the uncertainty — it does not round any of them away.

The factor table has not been externally reviewed. The deployment you are reading is running factor set 2026.08.18a-draft, whose own status line reads INDICATIVE - order-of-magnitude estimates, not measurements. Suitable for internal awareness and relative comparison; not for regulatory reporting, public claims, or offset retirement volumes.. The same string is returned to every client that calls server_info, so this page cannot say something softer than the machine does. Until that changes, do not use these figures for regulatory reporting, public claims, or offset retirement volumes. If you need figures you can defend externally, tell us — sourcing them is our job, and it is the next thing on this roadmap.