Accurate Cross-Tool Cost Accounting For AI Coding Subscriptions
TokenTracker monitors token usage across Claude Code, Cursor, Codex, and more, reaching 712 GitHub stars from developers juggling several AI coding subscriptions, but its issues expose the accuracy gap: DeepSeek counts diverge from the provider's official totals, Kimi and other plans are not tracked, and WSL-on-Windows agent usage is invisible to the monitor. Developers cannot tell which subscription is worth keeping. The wedge is trustworthy, provider-reconciled cost accounting that covers every tool and environment, not just the easy ones.
Problem Statement
A developer pays for Claude Code, Cursor, and a DeepSeek plan and wants to drop whichever they underuse, but the tracker's DeepSeek numbers do not match the provider's official statistics, Kimi usage is not categorized as a plan at all, and agent work running inside WSL never registers. The spend data they would use to cut a subscription is wrong or incomplete, so they keep paying for tools they cannot measure.
The Idea
A provider-reconciled cost-accounting tool for developers and teams running multiple AI coding subscriptions that need accurate spend across every tool and environment.
Why Now
By 2026 a working developer often pays for several AI coding tools at once, and finance is starting to ask which ones earn their keep, but usage trackers disagree with provider invoices and miss whole environments like WSL. TokenTracker's traction shows the demand for visibility, and its accuracy issues show why a reconciled, comprehensive tracker is the actual product.
Target User
Developers and engineering teams running multiple paid AI coding tools who need accurate spend visibility
Target Market
AI usage analytics and FinOps for developer tooling
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