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Enrich AI spend with per-request Cloudflare AI Gateway metadata, such as team, product, or customer, so you can allocate, budget, and alert on token costs without building your own pipeline.
Set budget periods from one day to multiple years and see current-period performance, status, and hierarchical rollups in one place.
Bring engineering knowledge, planned work, and code context into the FinOps Agent, and turn cost findings into tracked work in Linear and GitHub.
Track Grok and SpaceXAI API spend by model, unit type, and API key alongside your broader cloud and AI infrastructure.
A uniform, provider-agnostic standard for attributing every token to the team, customer, or feature that drove it, so you can report, budget, and control LLM spend across your entire AI stack.
Track Fireworks AI inference, deployment, and training costs by model and accelerator type alongside your broader cloud and AI infrastructure.
Use multiple named label columns in a single Business Metric to calculate and allocate costs across dimensions such as application, team, and environment.
Allocate Kubernetes network spend to the individual pods driving it, then roll those costs up to teams, applications, or any dimension you use for chargeback.
Track Cloudflare self-serve cost and usage data across Workers, R2, and more, alongside your other providers.
Set a Cost Report's Y-Axis to Count to see how many distinct resources, services, models, or seats contributed to spend over time.
