Build and compare deterministic EC2 cost scenarios with traceable pricing inputs, explicit assumptions, and optional AI explanations.
Capabilities
First-Fit Decreasing proposes EC2 allocations that meet the vCPU and memory requirements you enter, within the selected price catalog.
Gale-Shapley pairs every workload with the instance family it prefers — and that prefers it back.
Weighted regression can model 30-90 day Spot trends only after enough fresh, genuine observations exist. Its uncertainty band is not a guarantee.
Compare estimated alternatives for Graviton, right-sizing, pricing models, and instance families before validating compatibility and commitment fit.
Clone configs, tweak regions or pricing, and diff up to three scenarios side-by-side.
Optional AI-written explanations and consent-based PDF parsing stay separate from deterministic estimates. CSV bill parsing remains local.
Workflow
Set budget, region, pricing model. Add workloads with vCPU, RAM, and priority requirements.
POST /api/budgetsReview workload, region, pricing-model, utilization, and 730-hour assumptions before generating an estimate.
POST /api/optimizeSave scenarios, compare up to three side-by-side, and export CSV. Optional AI text never changes the calculations.
GET /api/scenariosCreate a budget, add workloads, review the assumptions, and retain a deterministic estimate for comparison.
Start Planning