Look up the on-demand Linux hourly + monthly price for an AWS EC2 instance type in us-east-1. Returns vCPUs, memory, hourly USD, and monthly USD (730 hours). For multi-cloud comparisons including OCI, Azure, and GCP, use compare_clouds instead.

Look up the on-demand Linux hourly + monthly price for an Azure VM size in eastus. Returns vCPUs, memory, hourly USD, and monthly USD.

Look up the on-demand Linux hourly + monthly price for a GCP Compute Engine machine type in us-east1. Returns vCPUs, memory, hourly USD, and monthly USD.

Find the cheapest equivalent VM across AWS, Azure, GCP, and OCI for a single target spec (vCPUs and memory). Returns the best-fit SKU per cloud sorted by monthly cost, plus the absolute and percent savings of the cheapest vs the most expensive option. OCI A1 Always Free is included — for specs that fit within 4 OCPU + 24 GB Arm, OCI returns $0/mo (real perpetual free tier, not a quirk).

Bulk-compare a list of compute workloads across AWS, Azure, GCP, and OCI. Each row is independently sized to the cheapest VM that meets its vCPU/memory spec on each cloud, multiplied by quantity and hours_per_month. Optional os_disk_gb adds attached storage cost. Returns per-row matches, per-cloud totals, and the cheapest cloud overall. Useful for sizing-sheet style inputs.

Bulk-compare a list of block-storage volumes across AWS, Azure, GCP, and OCI. Each row picks the cheapest SKU matching its disk_type (ssd or hdd) on each cloud, then prices it at capacity_gb × quantity. Returns per-row matches, per-cloud totals, and cheapest cloud. IOPS and throughput are accepted but not used for SKU matching. Snapshot pricing is upper-bound (real-world incremental snapshots cost less).

Compare data-transfer costs across AWS, Azure, GCP, and OCI for a given monthly volume. Two directions supported: 'out_to_internet' (tiered pricing with free-tier credits — AWS/Azure 100 GB, OCI 10 TB free) and 'inter_region' (flat rate for cross-region transfer within the same cloud). At 50 TB/mo of internet egress OCI is ~12× cheaper than the hyperscalers — a real competitive moat for content/CDN workloads. VPC peering is NOT yet modeled.

Compare object-storage pricing across AWS S3, Azure Blob, GCP Cloud Storage, and OCI Object Storage. Each request specifies capacity_gb and access tier (hot/cool/archive); the tool picks the cheapest SKU per cloud at that tier. OCI offers 20 GB Always Free in the 'hot' tier — surfaced when capacity fits. NOTE: egress, request, and retrieval costs are not modeled (often the actual hidden killer). v0.3 preview — placeholder pricing, verify before relying on numbers.

Compare managed PostgreSQL pricing across AWS RDS, Azure Database for PostgreSQL, GCP Cloud SQL, and OCI Database with PostgreSQL. Each request specifies vCPUs, memory, and storage_gb; the tool picks the cheapest matching SKU per cloud and totals compute + storage. v0.3 preview — pricing is bundled placeholder data; verify against current cloud pricing pages before relying on numbers.

Combined compute + block-storage compare across AWS, Azure, GCP, and OCI. Pass a compute list and a storage list (either may be empty). Returns nested per-row breakdowns plus combined per-cloud totals and the overall cheapest cloud. Mirrors the structure of a two-sheet sizing workbook (compute BoM + storage BoM). Optional commitment parameter estimates 1-year or 3-year Reserved Instance / Savings Plan / Committed Use discount on compute (storage stays at on-demand). For object storage, use compare_object_storage. For managed databases, use compare_postgres_database.

Project cross-cloud cost + payback for moving a workload away from its source cloud. Inputs: source_cloud + workload inventory (compute / storage / object_storage / databases / egress) + optional one_time data to migrate. Returns per-target monthly cost, savings %, exit egress cost, payback months, ranked recommendation by 3-year TCO, and triggered caveats (e.g., 'OCI A1.Flex is ARM — verify your AMIs'). The kind of FinOps decision that normally lives in a half-built spreadsheet — now one tool call.

Compute per-scenario cost / savings / payback for compute commitment options (none, 1yr_no_upfront, 1yr_all_upfront, 3yr_no_upfront, 3yr_partial_upfront, 3yr_all_upfront). Returns each scenario's monthly cost, upfront, 3-year total, savings %, and payback months — plus the recommended scenario by lowest 3-year TCO. Compute-only (storage / database / object / egress are not discounted because most clouds don't offer meaningful commitments on these). Per-family RI tiers come in v0.6.x; v0.6.0 uses cloud-level conservative averages.

Project per-cloud per-year cost over a configurable horizon (default 3 years), with linear YoY growth assumptions for compute / storage / egress. Returns cumulative TCO per cloud, year-by-year breakdown by category, and sensitivity analysis identifying the most impactful growth variable. The kind of number that goes into board decks and budget conversations — now computed from a public catalog instead of a spreadsheet.

Specialized assess_migration scoped to egress patterns. Useful when a team's largest cost line is data transfer (CDN workloads, video streaming, content distribution). Returns per-target egress cost, monthly + annual savings, payback months on any one-time exit cost, and recommendation. The OCI 12× moat is the headline finding: at 50 TB/month internet egress, OCI is roughly $340 vs $4,000+ on the hyperscalers because of OCI's 10 TB/month free tier + $0.0085/GB beyond.