Baz Technologies

Baz Technologies (Baz) is a Tel Aviv-based engineering review platform that uses purpose-built AI agents — code review, spec review, advanced security, SRE, and an automated fixer — to review implementation plans, pull requests, security findings, and merge decisions across the whole software development lifecycle. Baz reads the entire codebase alongside production telemetry to catch bugs and vulnerabilities before they ship, integrating with GitHub, GitLab, and Azure DevOps and issue/observability tools (Jira, Linear, Datadog, Sentry). It exposes its context-aware reviews to AI-native IDEs and CLIs (Cursor, Claude, VS Code) through a hosted Model Context Protocol (MCP) server, an npm-distributed CLI, and a coding-agent plugin. Backed by Battery Ventures and boldstart ventures with $17M in seed funding.

Baz Technologies is profiled on the APIs.io network. Tagged areas include Company, Code Review, Developer Tools, AI Agents, and Application Security.

Baz Technologies’ developer surface includes documentation, getting-started guide, engineering blog, pricing, signup flow, support, changelog, and 16 more developer resources.

🌐 Visit website 📡 Source on GitHub

32.1/100 thin ▬ flat Agent 4/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs 1 MCP Servers

Company Code Review Developer Tools AI Agents Application Security Agentic Coding DevOps MCP Software Engineering

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 32.1/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 10.5 / 20

Access Clarity 12.1 / 20

Operational Transparency 3.8 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 10

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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 github.com/api-evangelist/baz-technologies: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

MCP Servers 1

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

Baz Technologies MCP Server

Baz exposes a hosted, remote MCP server that delivers context-aware, org-configured code reviews directly inside any MCP-enabled IDE, CLI, or agent (Cursor, Claude Code / Deskto...

MCP SERVER

Security Posture 3

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

Baz Technologies Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Baz Technologies Vulnerability Disclosure

contact published

SECURITY

Baz Technologies Trust Center

SOC 2

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

CLI

CLI

Packages

Packages

Access & Security 5

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

TrustCenter

TrustCenter

Compliance

Compliance

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

Operate 3

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: baz-technologies
name: Baz Technologies
description: Baz Technologies (Baz) is a Tel Aviv-based engineering review platform that uses purpose-built AI agents — code
  review, spec review, advanced security, SRE, and an automated fixer — to review implementation plans, pull requests, security
  findings, and merge decisions across the whole software development lifecycle. Baz reads the entire codebase alongside production
  telemetry to catch bugs and vulnerabilities before they ship, integrating with GitHub, GitLab, and Azure DevOps and issue/observability
  tools (Jira, Linear, Datadog, Sentry). It exposes its context-aware reviews to AI-native IDEs and CLIs (Cursor, Claude,
  VS Code) through a hosted Model Context Protocol (MCP) server, an npm-distributed CLI, and a coding-agent plugin. Backed
  by Battery Ventures and boldstart ventures with $17M in seed funding.
url: https://raw.githubusercontent.com/api-evangelist/baz-technologies/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- battery-ventures
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://baz.ai/seo.jpg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Code Review
- Developer Tools
- AI Agents
- Application Security
- Agentic Coding
- DevOps
- MCP
- Software Engineering
tags_raw:
- Company
- Code Review
- Developer Tools
- AI Agents
- Application Security
- Agentic Coding
- DevOps
- Model Context Protocol
- Software Engineering
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/baz-technologies-domain-security.yml
- type: Website
  url: https://baz.ai
- type: DeveloperPortal
  url: https://baz.ai/docs
- type: Documentation
  url: https://baz.ai/docs
- type: GettingStarted
  url: https://baz.ai/docs/basics/getting-started
- type: Blog
  url: https://baz.ai/resources/blog
- type: GitHubOrganization
  url: https://github.com/baz-scm
- type: Pricing
  url: https://baz.ai/pricing
- type: SignUp
  url: https://baz.co/login
- type: TermsOfService
  url: https://baz.ai/terms
- type: PrivacyPolicy
  url: https://baz.ai/privacy
- type: Support
  url: https://baz.ai/contact
- type: ChangeLog
  url: https://baz.ai/changelog
- type: ChangeLog
  url: changelog/baz-technologies-changelog.yml
- type: MCPServer
  url: mcp/baz-technologies-mcp.yml
- type: CLI
  url: cli/baz-technologies-cli.yml
- type: Packages
  url: packages/baz-technologies-packages.yml
- type: LLMsTxt
  url: llms/baz-technologies-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: TrustCenter
  url: security/baz-technologies-trust-center.yml
- type: Compliance
  url: https://baz.ai/docs/account/security-privacy-and-compliance
- type: VulnerabilityDisclosure
  url: security/baz-technologies-vulnerability-disclosure.yml
- type: Security
  url: https://baz.ai/docs/account/security-privacy-and-compliance
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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