Estimates the environmental footprint of your AI use — energy (kWh), miles driven, water used for cooling, and CO₂ — plus a prompt-efficiency score, working with any AI client by measuring token usage.
A token accounting plugin for Claude Code that meters AI token usage, attributes costs to Jira stories, and generates evidence-backed reports for performance reviews and budget requests.
Estimates data-center water consumption from local Claude Code transcripts, providing water usage summaries, breakdowns by model/project, and a compact HTML widget.
Enables AI coding assistants to estimate session energy footprint and retire verified ecocredits on Regen Network, providing on-chain proof of regenerative contribution.