Chamber

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.

Chamber publishes 4 APIs on the APIs.io network, including Capacity API, Health API, Metrics API, and 1 more. Tagged areas include GPU, AIOps, Machine Learning, MLOps, and Infrastructure.

Chamber’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 19 more developer resources.

48.8/100 developing ▬ flat Agent 51/100 agent ready Full breakdown ↓
scored 2026-07-23 · rubric v0.5
AccessSelf serve
4 APIs 1 MCP Servers
GPUAIOpsMachine LearningMLOpsInfrastructureCloudKubernetesObservabilityMonitoringCompany

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-23 · rubric v0.5
Composite quality — 48.8/100 · developing
Contract Quality 15.3 / 25
Developer Ergonomics 16.1 / 20
Commercial Clarity 4.7 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 51/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/chamber: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 4

Individual APIs this provider publishes, each with its own machine-readable definition.

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

Model Context Protocol servers that expose these APIs to AI agents.

chamber-mcp.yml

MCP SERVER

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Chamber Authentication

http · 1 scheme

SECURITY

Chamber Domain Security

TLSv1.3 · DNSSEC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: chamber
name: Chamber
description: 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.
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://usechamber.io/og-image.png
url: https://raw.githubusercontent.com/api-evangelist/chamber/refs/heads/main/apis.yml
humanURL: https://www.usechamber.io
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: active
x-tier-reason: pipeline-enriched
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- GPU
- AIOps
- Machine Learning
- MLOps
- Infrastructure
- Cloud
- Kubernetes
- Observability
- Monitoring
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: chamber:chamber-capacity-api
  name: Chamber Capacity API
  description: Check budget allocations and remaining GPU hours
  humanURL: https://docs.usechamber.io/api-reference/introduction
  baseURL: https://api.usechamber.io/v1
  tags:
  - Capacity
  properties:
  - type: OpenAPI
    url: openapi/chamber-capacity-api-openapi.yml
- aid: chamber:chamber-health-api
  name: Chamber Health API
  description: Service health check
  humanURL: https://docs.usechamber.io/api-reference/introduction
  baseURL: https://api.usechamber.io/v1
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/chamber-health-api-openapi.yml
- aid: chamber:chamber-metrics-api
  name: Chamber Metrics API
  description: Query GPU utilization, memory, temperature, and power metrics
  humanURL: https://docs.usechamber.io/api-reference/introduction
  baseURL: https://api.usechamber.io/v1
  tags:
  - Metrics
  properties:
  - type: OpenAPI
    url: openapi/chamber-metrics-api-openapi.yml
- aid: chamber:chamber-workloads-api
  name: Chamber Workloads API
  description: List, retrieve, and get statistics for GPU workloads
  humanURL: https://docs.usechamber.io/api-reference/introduction
  baseURL: https://api.usechamber.io/v1
  tags:
  - Workloads
  properties:
  - type: OpenAPI
    url: openapi/chamber-workloads-api-openapi.yml
common:
- type: Website
  url: https://www.usechamber.io
- type: DeveloperPortal
  url: https://docs.usechamber.io/
- type: Documentation
  url: https://docs.usechamber.io/
- type: APIReference
  url: https://docs.usechamber.io/api-reference/introduction
- type: GettingStarted
  url: https://docs.usechamber.io/quickstart
- type: Support
  url: mailto:support@usechamber.io
- type: Blog
  url: https://www.usechamber.io/blog
- type: GitHubOrganization
  url: https://github.com/ChamberOrg
- type: Pricing
  url: https://www.usechamber.io/pricing
- type: SignUp
  url: https://www.usechamber.io/get-access
- type: Login
  url: https://app.usechamber.io
- type: StatusPage
  url: https://status.usechamber.io
- type: LLMsTxt
  url: llms/chamber-llms.txt
- type: Authentication
  url: authentication/chamber-authentication.yml
- type: Conventions
  url: conventions/chamber-conventions.yml
- type: ErrorCatalog
  url: errors/chamber-problem-types.yml
- type: Lifecycle
  url: lifecycle/chamber-lifecycle.yml
- type: Conformance
  url: conformance/chamber-conformance.yml
- type: DataModel
  url: data-model/chamber-data-model.yml
- type: Packages
  url: packages/chamber-packages.yml
- type: SDKs
  url: packages/chamber-packages.yml
- type: CLI
  url: cli/chamber-cli.yml
- type: MCPServer
  url: mcp/chamber-mcp.yml
- type: AgentSkill
  url: skills/chamber-monitor-gpu-workloads.md
- type: AgentSkill
  url: skills/chamber-track-gpu-capacity.md
- type: DomainSecurity
  url: security/chamber-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence