Klustercost vs Kubex
Klustercost
klustercost.cloudKubex
kubex.aiSide by side
| Figure | Klustercost | Kubex |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Kubernetes Cost Management Software | 7.8 (#6) | 7.6 (#11) |
| Integrations | The site lists WhatsApp, Teams, Slack, Power BI, HTTP API, and MCP protocol access. | Listed integrations include AWS, Azure, GCP, Oracle Cloud, Datadog, Grafana, New Relic, OpenTelemetry, Prometheus, Helm, Terraform, Jira, and ServiceNow. |
Plans
In their own words
Klustercost
Klustercost gives Kubernetes users cost visibility by workload, monitoring pods and assigning prices to nodes. Its Go-based observers use Kubernetes informers and Prometheus to track pods, nodes and namespaces in real time. Pod and node data is stored in PostgreSQL every 10 minutes, and nodes are enriched with hourly virtual-machine costs from Azure retail pricing APIs.
Users can ask questions in plain English and receive natural-language answers with structured JSON; the site describes these AI queries as read-only. Access options include WhatsApp, Teams, Slack, Power BI, an HTTP API and MCP protocol. A Helm chart deploys the monitor, pricing service, database and optional AI layer. The project is open source under GPL-3.0 and its plan is free. Setup requires a running Kubernetes cluster, Helm 3.x, reachable Prometheus, Metrics Server and a StorageClass. Azure cost enrichment is supported; AWS and GCP support are planned. Natural-language queries through the MCP assistant require an OpenAI API key.