
Monitor and govern Google Gemini model usage across AI Studio, Vertex AI, and Workspace — with token-level cost tracking, prompt analytics, and per-team attribution.
Token-level governance for Gemini models across Google AI Studio and Vertex AI
Break down cost by input tokens, output tokens, and cached prompts per Gemini model variant.
Project future Gemini spend and set proactive budget alerts before overages across AI Studio and Vertex.
Enforce quotas and policies across AI Studio, Vertex AI deployments, and Workspace Gemini usage.
Allocate Gemini costs across departments, projects, and Google Cloud billing accounts.
Catch unexpected cost spikes from misconfigured prompts, retry loops, or runaway Vertex jobs.
Compare cost-per-outcome across Gemini model tiers to optimize spend and performance.
Link your Google Cloud project with billing export enabled for Vertex AI and AI Studio.
Historical and real-time token usage and cost data flows in automatically.
Map projects, API keys, and Workspace domains to teams and cost centers.
Configure budgets, quotas, and anomaly alerts per model, project, and team.