Token Efficient Builders is a local-first Chrome extension that tracks Claude and OpenAI token spend, estimates cost against your own API key, logs Cursor usage by hand, and tries to answer a question none of the built-in usage pages answer: not “how many tokens,” but “was that worth it.” No login for any provider — you paste in your own key, it’s encrypted on your machine, and nothing leaves the browser except the calls you already make to Anthropic or OpenAI.
The trigger was mundane: I couldn’t tell, mid-session, how much of a Max plan a single working block had actually burned in dollars, or whether that number was reasonable for the work it produced. Anthropic’s own usage view counts tokens. It doesn’t convert that to cost, doesn’t put OpenAI or Cursor spend next to it, and says nothing about whether the tokens bought finished work or three false starts. So I built the tracker I wanted, then went and read what everyone else building in this space has already found.
What a token actually costs
Cost tracking for LLM usage splits into two markets that rarely talk to each other. On one side, individual Claude users install a browser extension because the native /usage page under-serves them; ClaudeKit’s own comparison of Claude Chrome extensions (updated August 2026) walks through live usage badges, reset alerts and token counters as the baseline feature set users now expect, and a second roundup from CLSkills Hub’s 2026 comparison of Claude counter extensions singles out per-source token breakdowns — knowing which file or project actually burned the budget — as “the killer feature” over a flat running total.
On the other side, teams running LLMs in production reach for a completely different toolchain. Maxim AI’s survey of LLM cost tracking tools in 2026 makes the case that token-based pricing needs infrastructure-level budget enforcement, not just a dashboard someone checks after the invoice arrives. Braintrust’s comparison of tools for tracking LLM costs in production makes a related point from the observability side: spend “hides inside long prompts, retries, agent loops, and tool calls,” so a dashboard that only shows aggregate billing is answering the wrong question. Both are right, and neither is aimed at a single developer deciding whether to burn a Max 5x window on a refactor. That gap — a personal, local, cross-provider tracker with no account required — is what Token Efficient Builders is actually for.
Counting tokens is not managing effort
The framing I kept coming back to is from Faros AI’s token cost management guide for engineering teams, which argues teams should classify spend as productive, inefficient, or wasteful rather than just watching volume — the same total token count can represent finished work or three abandoned attempts at the same task. That distinction is why Token Efficient Builders ships a Learn tab instead of just a bigger number: a set of guides on what actually drives token cost, plus one guide, “Human effort vs. token cost,” that says plainly what this tool does not yet do — it has no notion of time-on-task or revision count, only tokens and the dollar figures you log by hand. A token count that goes up because a task went well and a token count that goes up because you re-asked the same question five times look identical in every tracker I found, including this one. Naming that gap felt more honest than pretending a bigger dashboard had already closed it.
What shipped, and what’s still a dollar amount you type in
Claude and OpenAI both get real BYOK cost estimation against the same encrypted key store, namespaced so configuring one never touches the other. Cursor gets manual logging only — a dollar figure you read off cursor.com/dashboard and type in — because the only way every existing “Cursor usage” extension gets that data automatically is by pulling a full-account-access session cookie out of DevTools against an undocumented API. That’s not a login flow worth building, so it isn’t in here. There’s also a Claude-plan cost comparison: your projected monthly spend shown as a percentage of Pro, Max 5x, and Max 20x pricing — a dollar-to-dollar ratio only, since Anthropic publishes plan prices but not a tokens-per-message conversion rate, and a made-up “10x” tier doesn’t exist on claude.com/pricing no matter how naturally it reads in a sentence.
It’s not on the Chrome Web Store yet — that’s still on the to-do list, not something I’m going to claim done early. What’s real right now: it loaded and ran clean in an actual Chromium browser, clicks and all, not just a syntax check — and that’s the only reason a naming collision between three shared modules ever turned up in the first place. Small thing, but it’s the difference between a gate that passed and a page that actually works.
Sources credited above, in the order used: ClaudeKit, “Best Claude Chrome Extensions for Usage, Forking & Prompts (2026)”; CLSkills Hub, “Best Claude Counter / Usage Tracker Extensions for Chrome (2026 Comparison)”; Maxim AI, “Best LLM Cost Tracking Tools in 2026”; Braintrust, “Best tools for tracking LLM costs in production (2026)”; Faros AI, “AI token cost management: Best practices for engineering teams”.
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