
Query operational metrics in GCP BigQuery or ClickHouse Cloud and import the results as Business Metrics for unit cost reporting and Virtual Tag allocation.
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Query operational metrics in GCP BigQuery or ClickHouse Cloud and import the results as Business Metrics for unit cost reporting and Virtual Tag allocation.

Track DigitalOcean infrastructure spend by service, team, region, and Droplet size alongside your other cloud providers.

Allocate AWS Bedrock spend by team, customer, or feature using Model Invocation Logs, with totals that stay reconciled to the AWS bill.

Track OpenAI Codex spend and usage per client, model, and user, alongside your other providers.

Analyze AI spend across every provider with one consistent set of tags for model, token type, and user.

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.