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.
Kin Score
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.
Rate Limits 1
Documented rate limits and quota policies.
Kestrel Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Kestrel Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Kestrel Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Kestrel API Rules
SPECTRALJSON Schema 1
Standalone JSON Schema definitions for this provider's data models.
Kestrel Incident
JSON SCHEMASecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
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