Qwak

Qwak is an end-to-end production machine learning platform that lets data science and ML engineering teams build, train, deploy, monitor, and manage models with minimal engineering friction. The platform unifies MLOps, LLMOps, and a Feature Store, covering model registry and management, GPU/CPU training, production deployment as real-time API endpoints, batch inference or streaming, real-time monitoring and anomaly detection, LLM prompt management, and vector storage. Developers interact with the platform through the `qwak` CLI, the Python SDKs (qwak-sdk, qwak-core, qwak-inference), and a public Go SDK. Qwak was acquired by JFrog and rebranded JFrog ML; its documentation now lives on docs.jfrog.com and the successor SDK is `frogml`. Surfaced in the API Evangelist network as a portfolio company of Bessemer Venture Partners.

Qwak is profiled on the APIs.io network. Tagged areas include Company, Ai Ml, Machine Learning, MLOps, and LLMOps.

Qwak’s developer surface includes documentation, engineering blog, pricing, signup flow, CLI, authentication, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
23.0/100 emerging ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
0 APIs
CompanyAi MlMachine LearningMLOpsLLMOpsFeature StoreModel DeploymentModel MonitoringDeveloper Tools

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 23.0/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 8.7 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 10/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 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/qwak: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 2

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

Qwak Authentication

apiKey · 1 scheme

SECURITY

Qwak Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 SignUp
SignUp
 Login
Login

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs
 CLI
CLI

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication

Commercial 2

Pricing, plans, and the legal terms of use

Pricing
Pricing
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: qwak
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/qwak.png
name: Qwak
description: Qwak is an end-to-end production machine learning platform that lets data science and ML engineering teams build,
  train, deploy, monitor, and manage models with minimal engineering friction. The platform unifies MLOps, LLMOps, and a Feature
  Store, covering model registry and management, GPU/CPU training, production deployment as real-time API endpoints, batch
  inference or streaming, real-time monitoring and anomaly detection, LLM prompt management, and vector storage. Developers
  interact with the platform through the `qwak` CLI, the Python SDKs (qwak-sdk, qwak-core, qwak-inference), and a public Go
  SDK. Qwak was acquired by JFrog and rebranded JFrog ML; its documentation now lives on docs.jfrog.com and the successor
  SDK is `frogml`. Surfaced in the API Evangelist network as a portfolio company of Bessemer Venture Partners.
url: https://raw.githubusercontent.com/api-evangelist/qwak/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bessemer-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Ai Ml
- Machine Learning
- MLOps
- LLMOps
- Feature Store
- Model Deployment
- Model Monitoring
- Developer Tools
apis: []
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 4
  pass: local-v1
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/qwak-domain-security.yml
- type: Website
  url: https://www.qwak.com/
- type: DeveloperPortal
  url: https://docs.qwak.com/docs
- type: Documentation
  url: https://docs.qwak.com/docs
- type: GitHubOrganization
  url: https://github.com/qwak-ai
- type: Blog
  url: https://www.qwak.com/blog
- type: Pricing
  url: https://www.qwak.com/pricing
- type: SignUp
  url: https://app.qwak.ai
- type: Login
  url: https://app.qwak.ai
- type: PrivacyPolicy
  url: https://www.qwak.com/privacy-policy
- type: Packages
  url: packages/qwak-packages.yml
- type: SDKs
  url: packages/qwak-packages.yml
- type: CLI
  url: cli/qwak-cli.yml
- type: Authentication
  url: authentication/qwak-authentication.yml