Nazar

Nazar (nazar.ai) is an AI-powered database performance and cost optimization platform that helps engineering and DBA teams monitor, analyze, and tune their databases. It supports Postgres, MySQL, SQL Server, MariaDB, Amazon Aurora, Oracle, and SAP HANA across cloud, on-premises, and hybrid environments. Capabilities include SQL.AI, an LLM-based tuning assistant, offensive SQL monitoring for slow-query detection, real-time lock visibility, and anomaly detection. Founded in Recife, Brazil and backed by 500 Global, Nazar counts financial-services and travel companies among its customers.

Nazar is profiled on the APIs.io network. Tagged areas include Company, Database, Database Monitoring, Performance, and Observability.

🌐 Visit website 📡 Source on GitHub
9.4/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-23 · rubric v0.5
0 APIs
CompanyDatabaseDatabase MonitoringPerformanceObservabilityCost OptimizationSQLArtificial IntelligenceDevOps

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-23 · rubric v0.5
Composite quality — 9.4/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 2.6 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 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/nazar: 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 1

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

Nazar Domain Security

TLSv1.3

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login
Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 3

The organization behind the API

Website
Website
 LinkedIn
LinkedIn
 Twitter
Twitter

Source (apis.yml)

apis.yml Raw ↑ 
aid: nazar
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/nazar.png
name: Nazar
description: Nazar (nazar.ai) is an AI-powered database performance and cost optimization platform that helps engineering
  and DBA teams monitor, analyze, and tune their databases. It supports Postgres, MySQL, SQL Server, MariaDB, Amazon Aurora,
  Oracle, and SAP HANA across cloud, on-premises, and hybrid environments. Capabilities include SQL.AI, an LLM-based tuning
  assistant, offensive SQL monitoring for slow-query detection, real-time lock visibility, and anomaly detection. Founded
  in Recife, Brazil and backed by 500 Global, Nazar counts financial-services and travel companies among its customers.
url: https://raw.githubusercontent.com/api-evangelist/nazar/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Database
- Database Monitoring
- Performance
- Observability
- Cost Optimization
- SQL
- Artificial Intelligence
- DevOps
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/nazar-domain-security.yml
- type: LLMsTxt
  url: llms/nazar-llms.txt
- type: Website
  url: https://nazar.ai
- type: Login
  url: https://nazar.ai/login.html
- type: LinkedIn
  url: https://www.linkedin.com/company/nazar
- type: Twitter
  url: https://twitter.com/nazar_io
x-enrichment:
  date: '2026-07-20'
  status: nochange
  artifacts_added: 0
  pass: local-v1