Catalog and pricing reference
Verified cloud compute pricing across AWS, Azure, and GCP so teams can research provider, region, family, and purchase-model tradeoffs before connecting billing data. Adjacent infrastructure catalogs stay in Labs until their own provider-specific datasets are verified.
Engineering, platform, procurement, FinOps
- AWS, Azure, and GCP compute catalog with normalized vCPU, memory, region, operating system, hourly pricing, commitment, and spot fields where providers publish them.
- GPU and AI reference views where catalog data exists; databases, storage, Kubernetes, serverless, network/edge, platform, SaaS, and PaaS lanes require separate provider-specific validation before live customer exposure.
- Expression filters, provider filters, region filters, family filters, and CSV export from filtered catalog views.
- Provider source context and freshness-oriented catalog health surfaces.
- Catalog pages should not imply customer-specific spend until a billing account is connected.
- Some service categories are reference catalogs rather than live vendor integrations.
- Provider imports determine availability of spot, reserved, and specialty rates.