AI Token Analytics & Cost Attribution Dashboard for Eng Team

A B2B SaaS dashboard that connects to enterprise AI coding accounts to track actual token usage, calculate true costs (factoring in caching), and attribute spend to specific developers or projects. It solves the pain of opaque enterprise billing where companies are spending thousands without granular visibility.

在 Reddit 檢視

發現於 2026年4月12日

得分構成

痛點強度7/10

付費意願9/10

實現難度（易建構）7/10

永續性7/10

差異化

現有方案

CursorClaude Code

我們的切入角度

A third-party, cross-platform analytics and optimization layer that sits between the developer's IDE and the LLM APIs to track true costs and compress context.

社群原聲

直接影響該商機判斷的真實 Reddit 評論引用

“Did you billing calculations take into account cached tokens and that you always use the smallest context window”
“I typically have to sum everything up based on public api costs as the enterprise plans are still request based rather than token based.”
“where do you see that graph? i just see a big tab in the /usage tab”

行動計畫

在寫程式之前，先驗證這個商機

建議下一步

直接做

需求訊號強烈。痛點真實、付費意願明確——啟動 MVP 開發。

落地頁文案包

基於真實 Reddit 評論整理的即用文案，可直接貼到落地頁

主標題

AI Token Analytics & Cost Attribution Dashboard for Eng Team

副標題

目標使用者

適合：Engineering Managers and CTOs at companies spending $1,000+/mo on AI coding tools.

功能列表

✓ Cached vs. Uncached token cost calculator ✓ Developer-level usage leaderboards ✓ Alerts for approaching plan limits ✓ True API cost vs. Subscription cost ROI reports

使用者原聲

“Did you billing calculations take into account cached tokens and that you always use the smallest context window”— Reddit 使用者，r/r/cursor

“I typically have to sum everything up based on public api costs as the enterprise plans are still request based rather than token based.”— Reddit 使用者，r/r/cursor

“where do you see that graph? i just see a big tab in the /usage tab”— Reddit 使用者，r/r/cursor

去哪裡驗證

把落地頁連結發布到 r/r/cursor——這裡就是這些痛點被發現的地方。