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 API contracts indexed 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.

The Chamber catalog on APIs.io includes 1 Spectral governance ruleset.

Chamber’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 22 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

44.2/100 developing ▬ flat Agent 25/100 agent aware Front door AI 4/6 moderate Heartbeat 18/100 dormant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessEnterprise

1 published contract 2 Agent Skills

GPU AIOps Machine Learning MLOps Infrastructure Cloud Kubernetes Observability Monitoring Company

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information Technology Management

BC-600

CapacityMetricsWorkloads

GET /capacity GET /workloads/metrics GET /workloads GET /workloads/stats

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 44.2/100 · developing

Contract Quality 10.9 / 21

Developer Ergonomics 12.4 / 17

Access Clarity 4.0 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.2 / 9

Regulatory Posture 2.3 / 15

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 4 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics does not apply to this provider. The published contracts declare no write operations, and a read-only API cannot create-or-update. The facet is excluded from this provider's denominator entirely — not scored zero. A reference or data API is not deficient for being unable to upsert.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)

5 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 23.7 — up to +15.3 composite points
Contract Quality scores 51.4 — up to +12.2 composite points
Operational Transparency scores 18.4 — up to +10.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/chamber/apis.yml: open an issue on github.com/api-evangelist/chamber to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
MLOps and AI/ML Infrastructure (LF AI & Data, MLPerf, Kubeflow)	undeclared	-	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

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

Open Collections 4

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Chamber Capacity API

OPEN COLLECTION

Chamber Capacity Health API

OPEN COLLECTION

Chamber Capacity Metrics API

OPEN COLLECTION

Chamber Capacity Workloads API

OPEN COLLECTION

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

Monitor GPU workloads

AGENT SKILL

Track GPU capacity and spend

AGENT SKILL

Chamber API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Chamber Plans Pricing

0 plans

PLANS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Chamber Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Chamber API Rules

59 rules · 55 errors 1 warnings 3 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Chamber Openapi Overlay

3 actions · update · chamber-openapi.yml

DERIVED

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

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

X-MCPServerCandidate

X-MCPServerCandidate

AgentSkill

AgentSkill

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Overlay

Overlay

Source (apis.yml)

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.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  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: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-21
x-docs-hosting: vercel
tags:
- GPU
- AIOps
- Machine Learning
- MLOps
- Infrastructure
- Cloud
- Kubernetes
- Observability
- Monitoring
- Company
tags_raw:
- GPU
- AIOps
- Machine Learning
- MLOps
- Infrastructure
- Cloud
- Kubernetes
- Observability
- Monitoring
- Company
- Machine-Learning
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: Plans
  url: plans/chamber-plans-pricing.yml
- type: CapabilityMap
  url: capabilities/chamber-capability-edges.yml
  name: Chamber Business Capability Map
- type: Overlay
  url: overlays/chamber-openapi-overlay.yaml
- 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: X-MCPServerCandidate
  url: mcp/chamber-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- 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

Chamber API — frequently asked questions

Does Chamber have an API?

Yes. APIs.io lists 4 APIs from Chamber, including Chamber Capacity API, Chamber Health API and Chamber Metrics API, and 1 more.

Is there an OpenAPI specification for the Chamber API?

Yes. APIs.io indexes 4 OpenAPI specifications for Chamber, each linked for download from this page.

How do I authenticate with the Chamber API?

Chamber uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Chamber Authentication.

Is the Chamber API ready for AI agents?

Chamber has a Kin Score of 44.2 out of 100 (developing) and an Agent Readiness score of 24.6 (agent-aware), scored by API Evangelist on 2026-11-06.

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