Kestrel website screenshot

Kestrel

Kestrel AI is a YC-backed startup building an AI-native cloud incident response platform. Founded by former Illumio Kubernetes Security engineers, Kestrel uses autonomous AI agents to detect, investigate, and remediate infrastructure incidents across Kubernetes and cloud environments. The platform provides continuous monitoring, root cause analysis, and automated remediation through GitOps workflows, integrating with Slack, PagerDuty, GitHub, GitLab, AWS, and major observability platforms.

Kestrel publishes 2 APIs on the APIs.io network. Tagged areas include AI Agents, Cloud Security, Incident Response, Kubernetes, and Observability.

The Kestrel catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Kestrel’s developer surface includes documentation, signup flow, changelog, engineering blog, and 9 more developer resources.

35.3/100 thin ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreemium
2 APIs
AI AgentsCloud SecurityIncident ResponseKubernetesObservability

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 35.3/100 · thin
Contract Quality 2.0 / 25
Developer Ergonomics 2.2 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 10.3 / 13
Governance 7.0 / 12
Discoverability 5.9 / 10
Agent readiness — 3/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
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/kestrel: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Kestrel Platform

Kestrel AI provides an AI-native cloud incident response platform that uses autonomous agents to detect, investigate, and remediate Kubernetes and cloud infrastructure incidents...

Kestrel Kubernetes Operator

The Kestrel Kubernetes Operator is an open-source Go-based operator that connects Kubernetes clusters to the Kestrel AI platform. It communicates via bidirectional gRPC streamin...

Pricing Plans 1

Published pricing tiers and plan structures.

Kestrel Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Kestrel Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Kestrel Context

0 classes · 5 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Kestrel API Rules

5 rules · 3 warnings 2 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

Kestrel Incident

13 properties

JSON SCHEMA

Security Posture 1

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

Kestrel Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: kestrel
url: https://raw.githubusercontent.com/api-evangelist/kestrel/refs/heads/main/apis.yml
apis:
- aid: kestrel:platform
  name: Kestrel Platform
  tags:
  - AI Agents
  - Cloud Security
  - Incident Response
  - Kubernetes
  humanURL: https://docs.usekestrel.ai/
  properties:
  - url: https://docs.usekestrel.ai/
    type: Documentation
  - url: https://docs.usekestrel.ai/quickstart
    type: GettingStarted
  - url: https://platform.usekestrel.ai/register
    type: Signup
  description: Kestrel AI provides an AI-native cloud incident response platform that uses autonomous agents to detect, investigate,
    and remediate Kubernetes and cloud infrastructure incidents. The platform monitors clusters continuously, identifies root
    causes, and generates production-ready fixes delivered as pull requests via GitOps workflows. It integrates with major
    cloud providers, observability tools, and CI/CD platforms to provide end-to-end incident management.
- aid: kestrel:kubernetes-operator
  name: Kestrel Kubernetes Operator
  tags:
  - gRPC
  - Helm
  - Kubernetes
  - Operators
  humanURL: https://docs.usekestrel.ai/kubernetes/configuration
  properties:
  - url: https://docs.usekestrel.ai/kubernetes/configuration
    type: Documentation
  - url: https://github.com/KestrelAI/Kestrel-Operator
    type: GitHubOrganization
  description: The Kestrel Kubernetes Operator is an open-source Go-based operator that connects Kubernetes clusters to the
    Kestrel AI platform. It communicates via bidirectional gRPC streaming over mTLS with OAuth2 authentication, streaming
    resource metadata, logs, events, and network telemetry. The operator supports OpenTelemetry OTLP ingestion and Istio Access
    Log Service integration for comprehensive observability. It is deployed via Helm chart from the GitHub Container Registry.
name: Kestrel
tags:
- AI Agents
- Cloud Security
- Incident Response
- Kubernetes
- Observability
type: Index
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/kestrel.png
access: 3rd-Party
common:
- type: DomainSecurity
  url: security/kestrel-domain-security.yml
- url: https://usekestrel.ai/
  name: Kestrel Website
  type: Website
  description: 'null'
- url: https://docs.usekestrel.ai/
  name: Kestrel Documentation
  type: Documentation
  description: 'null'
- url: https://platform.usekestrel.ai/register
  name: Kestrel Sign Up
  type: Signup
  description: 'null'
- url: https://github.com/kestrelai
  name: Kestrel GitHub
  type: GitHubOrganization
  description: 'null'
- url: https://docs.usekestrel.ai/integrations/slack
  name: Slack
  type: Integrations
  description: 'null'
- url: https://docs.usekestrel.ai/integrations/pagerduty
  name: PagerDuty
  type: Integrations
  description: 'null'
- url: https://docs.usekestrel.ai/integrations/cicd
  name: CI/CD Pipeline Integration
  type: Integrations
  description: 'null'
- url: https://docs.usekestrel.ai/cloud/aws
  name: AWS
  type: Integrations
  description: 'null'
- url: https://docs.usekestrel.ai/on-premise/setup
  name: Kestrel On-Premise Setup
  type: SelfHosted
  description: 'null'
- url: https://status.usekestrel.ai/
  name: Kestrel Status
  type: StatusPage
  description: 'null'
- url: https://usekestrel.ai/changelog
  name: Kestrel Changelog
  type: ChangeLog
  description: 'null'
- url: https://trust.delve.co/kestrel-ai
  name: Kestrel Trust Center
  type: Security
  description: 'null'
- url: json-ld/kestrel-context.jsonld
  type: JSONLD
- url: json-schema/kestrel-incident-schema.json
  type: JSONSchema
- type: LlmsText
  url: https://docs.usekestrel.ai/llms.txt
- type: Blog
  url: https://usekestrel.ai/blog
created: '2026-03-26'
modified: '2026-04-28'
position: Consumer
segments:
- Incident Response
- Kubernetes
- Cloud Security
description: Kestrel AI is a YC-backed startup building an AI-native cloud incident response platform. Founded by former Illumio
  Kubernetes Security engineers, Kestrel uses autonomous AI agents to detect, investigate, and remediate infrastructure incidents
  across Kubernetes and cloud environments. The platform provides continuous monitoring, root cause analysis, and automated
  remediation through GitOps workflows, integrating with Slack, PagerDuty, GitHub, GitLab, AWS, and major observability platforms.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
specificationVersion: '0.19'