A
licenseA
qualityD
maintenanceEstimates GPU requirements, training/inference costs, and cloud-vs-on-prem TCO for AI workloads using deterministic calculators.
12
1
MIT
Estimate zkML proving and verification costs and latency from supplied measurements; no proofs run.
Compare GPU workload costs per accepted output, including setup, storage, egress and failed work.
Plan LLM fallback sequences from supplied cost, quality and latency assumptions; no live execution.
Pay-per-call ($0.25 USDC) project cost estimator: modules + cheapest model mix that clears quality.
Model proof-of-work policy and latency for AI agents. $1 USDC rehearsal; no runtime protection.
Add one secure layer between your agents and this server.