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 📡 Profile data on GitHub

33.3/100 thin ▬ flat Agent 4/100 human only Front door AI 5/6 prominent Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

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 2026-11-06 · rubric v0.27.0

Composite quality — 33.3/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 8.9 / 17

Access Clarity 10.3 / 17

Operational Transparency 3.2 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.7 / 15

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

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 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.

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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
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
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

12 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 0.0 — up to +12.0 composite points
Developer Ergonomics scores 52.4 — up to +9.5 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/baz-technologies/apis.yml: open an issue on github.com/api-evangelist/baz-technologies 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
Agent Skills (SKILL.md packages)	standard	26.8 (thin)	-	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 2

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.

Model Context Protocol (MCP)

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Agent Skills

measured — observed by APIs.io (published)

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:
  - security
  generated: '2026-11-06'
  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

Baz Technologies API — frequently asked questions

Does Baz Technologies have an MCP server?

Yes. APIs.io lists 1 MCP server for Baz Technologies: 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 / Desktop, VS Code). Review pri

Is the Baz Technologies API ready for AI agents?

Baz Technologies has a Kin Score of 33.3 out of 100 (thin) and an Agent Readiness score of 3.6 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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Every operation they expose

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How their score was established

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