Sazabi website screenshot

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.

15.9/100 emerging ▬ flat Agent 4/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs 1 MCP Servers
CompanyObservabilityMonitoringArtificial IntelligenceAgentsMCPDevOpsIncident ResponseLogging

Kin Score

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

Sazabi MCP Server

The Sazabi MCP server lets agents (e.g. Slackbot, the Sazabi Slack app, and the Microsoft Teams agent) discover and use Sazabi observability tools to investigate production issu...

MCP SERVER

Security Posture 1

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

Sazabi Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 4

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
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
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://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: '0.23'
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

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