Sazabi

Sazabi is an AI-native observability platform that helps engineering teams find and fix production issues faster. Autonomous agents watch application logs (stdout/stderr) to detect anomalies, unfamiliar errors, traffic spikes, and failed deployments without traditional dashboards, then deliver contextual, root-cause alerts into Slack and Microsoft Teams. Engineers investigate in natural language by mentioning the Sazabi agent, and the platform can hand off context to coding agents such as Claude, Cursor, and Codex or open pull requests to remediate. Sazabi instruments 35+ hosting providers with no code changes and exposes a hosted Sazabi MCP server so agents can query logs, inspect issues and projects, and discover Sazabi tools. Founded by Sherwood Callaway; part of the Y Combinator P26 (Spring 2026) batch; backed by an $8M seed round led by J2 Ventures, Village Global, and Y Combinator, with an open beta.

Sazabi is profiled on the APIs.io network. Tagged areas include Company, Observability, Monitoring, Artificial Intelligence, and Agents.

Sazabi’s developer surface includes documentation, engineering blog, signup flow, support, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.4/100 emerging ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs 1 MCP Servers

CompanyObservabilityMonitoringArtificial IntelligenceAgentsMCPDevOpsIncident ResponseLogging

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 18.4/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 4.8 / 20

Commercial Clarity 6.8 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 12/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 12 / 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 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/sazabi: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

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

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

DataProcessingAgreement

DataProcessingAgreement

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Source (apis.yml)

aid: sazabi
name: Sazabi
description: Sazabi is an AI-native observability platform that helps engineering teams find and fix production issues faster.
  Autonomous agents watch application logs (stdout/stderr) to detect anomalies, unfamiliar errors, traffic spikes, and failed
  deployments without traditional dashboards, then deliver contextual, root-cause alerts into Slack and Microsoft Teams. Engineers
  investigate in natural language by mentioning the Sazabi agent, and the platform can hand off context to coding agents such
  as Claude, Cursor, and Codex or open pull requests to remediate. Sazabi instruments 35+ hosting providers with no code changes
  and exposes a hosted Sazabi MCP server so agents can query logs, inspect issues and projects, and discover Sazabi tools.
  Founded by Sherwood Callaway; part of the Y Combinator P26 (Spring 2026) batch; backed by an $8M seed round led by J2 Ventures,
  Village Global, and Y Combinator, with an open beta.
url: https://raw.githubusercontent.com/api-evangelist/sazabi/refs/heads/main/apis.yml
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://sazabi.com/opengraph-image.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
- j2-ventures
- village-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Observability
- Monitoring
- Artificial Intelligence
- Agents
- MCP
- DevOps
- Incident Response
- Logging
apis: []
common:
- type: Website
  name: Sazabi Website
  url: https://www.sazabi.com/
- type: Documentation
  name: Sazabi Documentation
  url: https://docs.sazabi.com/
- type: Blog
  name: Sazabi Blog
  url: https://www.sazabi.com/blog
- type: SignUp
  name: Request Access
  url: https://sazabi.com
- type: Login
  name: Sazabi App
  url: https://app.sazabi.com
- type: Support
  name: Contact Sazabi
  url: https://www.sazabi.com/?contact=true
- type: TermsOfService
  name: Terms of Service
  url: https://www.sazabi.com/legal/terms-of-service
- type: PrivacyPolicy
  name: Privacy Policy
  url: https://www.sazabi.com/legal/privacy-policy
- type: DataProcessingAgreement
  name: Data Processing Addendum
  url: https://www.sazabi.com/legal/data-processing-addendum
- type: MCPServer
  name: Sazabi MCP Server
  url: mcp/sazabi-mcp.yml
- type: LLMsTxt
  name: Sazabi llms.txt
  url: llms/sazabi-llms.txt
- type: DomainSecurity
  name: Domain Security Probe
  url: security/sazabi-domain-security.yml
- type: LinkedIn
  name: Sazabi on LinkedIn
  url: https://www.linkedin.com/company/sazabi
- type: Twitter
  name: Sazabi on X
  url: https://x.com/sazabi
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 3
  pass: local-v1