# Chamber

**Canonical:** https://apis.io/providers/chamber/  
**Website:** https://www.usechamber.io  
**APIs profiled:** 4

Chamber is an AIOps control plane for enterprise AI infrastructure (Y Combinator W26, Seattle). Its always-on agent — Chambie — monitors, diagnoses, and automatically resolves GPU workload failures across AWS, GCP, Azure, and on-premise Kubernetes clusters, and optimizes utilization so ML teams can run more workloads on the same GPUs without manual intervention. Chamber ships a REST API, an official Python SDK (chamber-sdk), and a `chamber` CLI for submitting GPU workloads, querying capacity budgets and GPU-hour allocations, and reading GPU utilization / memory / temperature / power metrics, plus Slack and email integrations and Terraform modules for GPU-ready EKS and GKE clusters.

## Kin Score — 46.6 / 100 (developing)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 46.6).

| Facet | Score |
|---|---|
| Discoverability | 81.5 |
| Contract Quality | 58.7 |
| Governance | 16.7 |
| Contract Governance | 16.7 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 73.2 |
| Commercial Clarity | 23.7 |
| Access Clarity | 23.7 |

## Agent readiness — 37.5 (agent-ready)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | na |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | na |
| Error Semantics | documented |
| OpenAPI Examples | partial |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | derived |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | na |

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## APIs (4)

- **Chamber Capacity API** — Check budget allocations and remaining GPU hours
- **Chamber Health API** — Service health check
- **Chamber Metrics API** — Query GPU utilization, memory, temperature, and power metrics
- **Chamber Workloads API** — List, retrieve, and get statistics for GPU workloads

## MCP servers (1)

- **Chamber MCP Server**

## Security (2)

- **Chamber Authentication** — http · 1 scheme
- **Chamber Domain Security** — TLSv1.3 · DNSSEC

## Tags

GPU, AIOps, Machine-Learning, MLOps, Infrastructure, Cloud, Kubernetes, Observability, Monitoring, Company

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/chamber/). Scores are computed from the provider's own public artifacts under a published rubric.