3 items
Track the energy footprint of your AI prompts across Claude, ChatGPT, Gemini, and Perplexity Every AI prompt has a hidden cost. Prompt Power makes it visible. Prompt Power runs silently in the background as you use Claude, ChatGPT, Gemini, and Perplexity — tracking the energy consumed, water used, and tokens processed with every conversation. What you get: - Real-time token counting for every prompt and response - Energy estimates (Wh) based on published AI research data - Water usage tracking for data center cooling - Relatable comparisons — see your usage in seconds of a hair dryer, minutes of a TV, or number of Google searches - Platform breakdown showing which AI tools consume the most - Full history of every interaction How it works: - Detects prompts and responses directly on each AI platform - Estimates tokens using a client-side heuristic — no data leaves your browser - Calculates energy using per-token rates from peer-reviewed research (Luccioni et al., 2023) - Water estimates based on UC Riverside data center cooling research Why it matters: A single AI query uses 10x more energy than a Google search. Image generation uses 60x more. AI data centers are projected to consume as much electricity as entire countries by 2027, using billions of liters of fresh water for cooling. This isn't about stopping — it's about being aware. Use AI intentionally. Prompt Power is 100% local. No accounts. No tracking. No data sent anywhere. Your usage stays on your device. Supports: Claude (claude.ai), ChatGPT (chatgpt.com), Gemini (gemini.google.com), and Perplexity (perplexity.ai)
Apr 2, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.