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Ask questions, investigate costs, and take action on your Vantage account directly from Cursor.

AI coding tool spend is usage-based, variable, hard to predict, and skewed by power users. It's cloud infrastructure economics all over again, and it needs the same FinOps treatment.

Per-developer AI spend data creates an instinct to rein in the top spenders. But raw cost without a denominator is meaningless - here's how to measure what agentic coding actually delivers.

Scope collapsed tag keys to specific providers or accounts with filters, and prepend value prefixes to distinguish the source of each collapsed value.

Per-token pricing gets all the visibility, but agentic sessions have a completely different cost structure. Input tokens, context accumulation, and session length are what actually drive the bill.

A recap of our recent webinar on applying FinOps practices to AI token costs - from provider data gaps to developer-level attribution and model switching tradeoffs.

Identify managed services approaching or incurring premium support charges and plan upgrades proactively.

Search across reports, dashboards, and pages from anywhere in the Vantage console.

Edit Vantage Query Language directly in the console to reuse and modify filter logic as code.

Track CI/CD spend and usage alongside your cloud infrastructure and SaaS providers in a single place.

Turn cost recommendations into actionable GitHub issues with code context and estimated savings.