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
15.3/100 emerging ▬ flat Agent 9/100 agent aware Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
AccessSelf serve
0 APIs
CompanyAi MlMachine-LearningMLOpsLLMOpsFeature StoreModel DeploymentModel MonitoringDeveloper Tools

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 15.3/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 5.7 / 20
Access Clarity 4.2 / 20
Operational Transparency 0.3 / 13
Contract Governance 0.0 / 12
Discoverability 5.0 / 10
Agent readiness — 9/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
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
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
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: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Ai Ml
- Machine-Learning
- MLOps
- LLMOps
- Feature Store
- Model Deployment
- Model Monitoring
- Developer Tools
tags_raw:
- 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