Real-Time AI Spend with AI Signals

AI Signals gives your organization real-time visibility into AI spend across providers, models, and users, and connects that spend to the business context behind it.

AI Signals data feeds into CloudZero alongside your cloud and SaaS spend. Allocate AI costs using the same Dimensions and rules as everything else: by team, project, activity, or any category your organization defines.

Costs shown in AI Signals are estimates based on token volume at published market rates. These estimates are directional and can differ from reconciled billing data across the platform.

Livestream

Livestream shows every AI inference event as it arrives, within seconds of the call being made. Each row is an individual event with context: who made the call, which model handled it, what the activity was, how many tokens it consumed, and what it cost.

Each event row shows timestamp, caller, activity, model, source, tokens, cache, and cost by default. Additional columns (department, team, project, topic, issue, tool, GitHub repo, git branch, and git user) are available through the Customize Table panel.

Filter events by model or source using the dropdowns at the top of the page, or search for specific events using the search bar. Click any event row to open the event detail panel with context for that inference call.

AI Explorer

AI Explorer aggregates estimated AI spend into a grouped view. Group spend by two dimensions at once and select a time range to analyze estimated spend patterns across your organization.

The table shows total spend, tokens, and percentage of total by default. Cache and models columns are available through the Customize Table panel.

Costs in AI Explorer are estimates based on token volume at published market rates. Reconciled costs from your provider billing are available across the platform.

Available integrations

Connect your AI platforms to start sending data to AI Signals:

For provider-level billing connections (Anthropic, OpenAI, Cursor), see AI Platforms.