simulation.metrics

shallow

ai.cloudworldmodel/cloud-world-model · Verify this server

Read the latest metrics and resource states for a temporary anonymous demo simulation: latency, CPU, throughput, error rate, cost per hour, and per-resource health. Use it to inspect current state and metrics history without advancing time; do not use it to move the simulation forward — that is simulation.step. Responses are compact by default: principal current metrics plus explicit modeled goodputRps (a post-step point rate sourced from throughput, with provenance), goodputWindow (recorded only from persisted simulation-clock bounds, otherwise unavailable with provenance; never derive it from retrieval time or currentStep), errorBreakdown when available, per-resource status (id, name, status, cpuPercent, routedRps, availabilityState, isRoutable, and recoveryBlockedReason when provided), seeded EKS Spot checkpoint history and migrationEvaluationComplete/provenance when present, and the last 10 metrics-history entries. Pass responseMode: 'full' to get the complete simulation state, normalizedConfig, and full metrics history instead. During recovery, each resource may include recoveryProgress.state (parked, cooling_down, or healthy) with parkWindow and cooldown counters; poll simulation.step until healthy, then use simulation.metrics to inspect the resulting state and metrics. GPU / inference workflow: when the simulation includes a kubernetes resource with characteristics.inferenceMode: true, the response also includes top-level gpuUtilization (%), tokensPerSecond, costPerMillionTokens (USD/M tokens), idleGpuCostPerHour (USD/hr of standby GPU spend), and idleGpuFraction (0-1 idle HA overhead share) from the latest step, and each history entry carries the same inference fields. Pass the simulationId returned by simulation.create when your connector opens a fresh MCP session; preserve Mcp-Session-Id to use the omitted-ID current-simulation default. A fresh session has no current-simulation pointer. At least one simulation.step is needed for meaningful metrics. Read-only; repeated calls may be subject to demo usage limits. The likely next tool is simulation.step or simulation.inject_traffic.

100.0/100

1 trials · measured 2 days ago

simulation.metrics scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.cloudworldmodel/cloud-world-model, measured 6 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-06100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

Embed this score

Available for every tool, scored or not — not a verification perk. Always links back to this page.

Vouch score: simulation.metrics
[![Vouch score](https://vouch.tools/api/tools/66bcdade-e030-4df9-bfb4-43d52e1497dc/badge.svg)](https://vouch.tools/tools/66bcdade-e030-4df9-bfb4-43d52e1497dc)
simulation.metrics — Vouch