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 image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg access: 3rd-Party common: - 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: Kestrel Slack Integration type: Integration description: 'null' - url: https://docs.usekestrel.ai/integrations/pagerduty name: Kestrel PagerDuty Integration type: Integration description: 'null' - url: https://docs.usekestrel.ai/integrations/cicd name: Kestrel CI/CD Integration type: Integration description: 'null' - url: https://docs.usekestrel.ai/cloud/aws name: Kestrel AWS Integration type: Integration 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: Status 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: JSON-LD - url: json-schema/kestrel-incident-schema.json type: JSONSchema 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'