Akri website screenshot

Akri

Akri is a CNCF Sandbox project that exposes heterogeneous leaf devices (such as IP cameras and USB devices) as resources in a Kubernetes cluster. It enables dynamic discovery and utilization of IoT edge devices through protocol-specific Discovery Handlers for ONVIF, OPC UA, and udev, with automatic workload scheduling and high availability.

Akri publishes 1 API on the APIs.io network: Metrics API. Tagged areas include Device Management, Edge Computing, IoT, Kubernetes, and CNCF.

The Akri catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Akri’s developer surface includes documentation, getting-started guide, changelog, code examples, and 10 more developer resources.

47.3/100 developing ▼ -8.1 Agent 28/100 agent aware Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreemium
1 APIs 10 Features 5 Use Cases
Device ManagementEdge ComputingIoTKubernetesCNCFOpen SourceOPC UAONVIFudev

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 47.3/100 · developing
Contract Quality 13.1 / 25
Developer Ergonomics 5.2 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 6.8 / 13
Governance 8.3 / 12
Discoverability 5.9 / 10
Agent readiness — 28/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 7 / 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/akri: 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 1

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

Akri Metrics API

Prometheus metrics endpoints for Akri Agent, Controller, and broker pods

Pricing Plans 1

Published pricing tiers and plan structures.

Akri Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Akri Rate Limits

5 limits

RATE LIMITS

FinOps 1

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

Akri Finops

FINOPS

Features 10

Notable capabilities this provider offers.

Dynamic Device Discovery

Automatically discovers heterogeneous leaf devices (IP cameras, USB devices, industrial sensors) across Kubernetes cluster nodes using protocol-specific Discovery Handlers.

ONVIF Discovery Handler

Discovers IP cameras via ONVIF standards and RTSP streams, with filtering by IP address, MAC address, ONVIF scopes, and device UUIDs.

OPC UA Discovery Handler

Discovers industrial automation servers and Local Discovery Servers via OPC UA protocol, supporting x509 certificate authentication for secure connections.

udev Discovery Handler

Discovers locally attached hardware (USB devices, cameras, microphones) on Linux nodes using udev rules with kernel device name and capability filtering.

Automatic Workload Scheduling

Automatically schedules broker Pods or Jobs per discovered device based on Akri Configuration specifications, managing the full workload lifecycle.

High Availability

Multiple nodes can access a single leaf device, ensuring service continuity if a node fails. Supports multi-node device reservation.

Kubernetes Custom Resources

Two CRDs: configurations.akri.sh for discovery specification and instances.akri.sh representing each discovered device as a Kubernetes resource.

Extensible Discovery Handler Framework

Community can implement custom Discovery Handlers as DaemonSets using the akri-discovery-handler-template, enabling support for any device protocol.

Prometheus Metrics

Built-in Prometheus metrics on port 8080 for instance count, discovery response results, discovery latency, and broker pod count, with Grafana visualization support.

Multi-Architecture Support

Supports Linux nodes on amd64, arm64v8, and arm32v7 architectures with Kubernetes v1.16+, K3s, and MicroK8s distributions.

Scroll for all 10

Semantic Vocabularies 1

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

Akri Akri Context

6 classes · 19 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Akri API Rules

5 rules · 3 warnings 2 info

SPECTRAL

Akri API Rules

27 rules · 12 errors 14 warnings 1 info

SPECTRAL

JSON Schema 7

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

AkriBrokerPodCount

3 properties

JSON SCHEMA

AkriConfiguration

4 properties

JSON SCHEMA

AkriDiscoveryResponseResult

3 properties

JSON SCHEMA

AkriDiscoveryResponseTime

3 properties

JSON SCHEMA

AkriInstanceCount

3 properties

JSON SCHEMA

AkriInstance

4 properties

JSON SCHEMA

PrometheusMetrics

0 properties

JSON SCHEMA

Scroll for all 7

JSON Structure 7

JSON Structure definitions describing this provider's data shapes.

Akri Akri Broker Pod Count Structure

3 properties

JSON STRUCTURE

Akri Akri Configuration Structure

4 properties

JSON STRUCTURE

Akri Akri Instance Count Structure

3 properties

JSON STRUCTURE

Akri Akri Instance Structure

4 properties

JSON STRUCTURE

Akri Prometheus Metrics Structure

0 properties

JSON STRUCTURE

Scroll for all 7

Examples 6

Example request and response payloads for these APIs.

Security Posture 1

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

Akri Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Akri Agentic Access

1 operation

1 operations · 0 acting

AGENTIC

Use Cases 5

What developers build with this provider.

Edge IoT Device Management

Expose and manage IoT leaf devices such as IP cameras and USB sensors as first-class Kubernetes resources for edge computing workloads.

Industrial Automation Integration

Connect industrial OPC UA servers and automation equipment to Kubernetes clusters for real-time monitoring and control workflows.

Computer Vision at the Edge

Deploy ONVIF-compliant IP camera brokers automatically as cameras are discovered, enabling distributed computer vision processing.

Dynamic Hardware Resource Scheduling

Automatically schedule GPU, FPGA, or specialized hardware workloads based on real-time device availability across cluster nodes.

Heterogeneous Device Fleet Management

Manage fleets of diverse edge devices with different protocols from a single Kubernetes control plane using unified Configuration resources.

Integrations 7

Pre-built integrations with other platforms and tools.

Prometheus

Native Prometheus metrics integration via ServiceMonitor and PodMonitor custom resources, with Grafana visualization support.

Helm

Official Helm chart packaging for deploying Akri Controller, Agent DaemonSet, and Discovery Handler DaemonSets.

Kubernetes Device Plugin Framework

Extends the Kubernetes Device Plugin Framework with edge-specific capabilities for heterogeneous leaf device management.

ONVIF

Built-in ONVIF protocol support for discovering and managing standards-compliant IP cameras and video devices.

OPC UA

Built-in OPC UA protocol support for industrial automation device discovery with certificate-based security.

Linux udev

Built-in udev integration for discovering locally attached hardware devices on Linux Kubernetes nodes.

CNCF Ecosystem

CNCF Sandbox project integrating with cloud native tooling including K3s, MicroK8s, and standard Kubernetes distributions.

Scroll for all 7

Resources

Get Started 1

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

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 5

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Source (apis.yml)

apis.yml Raw ↑
aid: akri
url: https://raw.githubusercontent.com/api-evangelist/akri/refs/heads/main/apis.yml
name: Akri
tags:
- Device Management
- Edge Computing
- IoT
- Kubernetes
- CNCF
- Open Source
- OPC UA
- ONVIF
- udev
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/akri.png
description: Akri is a CNCF Sandbox project that exposes heterogeneous leaf devices (such as IP cameras and USB devices) as
  resources in a Kubernetes cluster. It enables dynamic discovery and utilization of IoT edge devices through protocol-specific
  Discovery Handlers for ONVIF, OPC UA, and udev, with automatic workload scheduling and high availability.
created: '2025-01-01'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
- aid: akri:akri-metrics-api
  name: Akri Metrics API
  description: Prometheus metrics endpoints for Akri Agent, Controller, and broker pods
  humanURL: https://docs.akri.sh/
  baseURL: http://localhost:8080
  tags:
  - Metrics
  properties:
  - type: OpenAPI
    url: openapi/akri-metrics-api-openapi.yml
  - type: Documentation
    url: https://docs.akri.sh/
  - type: GitHubRepository
    url: https://github.com/project-akri/akri
  - type: JSONSchema
    url: json-schema/akri-prometheus-metrics-schema.json
  - type: JSONSchema
    url: json-schema/akri-akri-instance-count-schema.json
  - type: JSONSchema
    url: json-schema/akri-akri-discovery-response-result-schema.json
  - type: JSONSchema
    url: json-schema/akri-akri-discovery-response-time-schema.json
  - type: JSONSchema
    url: json-schema/akri-akri-broker-pod-count-schema.json
  - type: JSONSchema
    url: json-schema/akri-akri-configuration-schema.json
  - type: JSONSchema
    url: json-schema/akri-akri-instance-schema.json
  - type: JSONStructure
    url: json-structure/akri-prometheus-metrics-structure.json
  - type: JSONStructure
    url: json-structure/akri-akri-instance-count-structure.json
  - type: JSONStructure
    url: json-structure/akri-akri-discovery-response-result-structure.json
  - type: JSONStructure
    url: json-structure/akri-akri-discovery-response-time-structure.json
  - type: JSONStructure
    url: json-structure/akri-akri-broker-pod-count-structure.json
  - type: JSONStructure
    url: json-structure/akri-akri-configuration-structure.json
  - type: JSONStructure
    url: json-structure/akri-akri-instance-structure.json
  - type: Examples
    url: examples/akri-prometheus-metrics-example.json
  - type: Examples
    url: examples/akri-akri-instance-count-example.json
  - type: Examples
    url: examples/akri-akri-discovery-response-result-example.json
  - type: Examples
    url: examples/akri-akri-discovery-response-time-example.json
  - type: Examples
    url: examples/akri-akri-broker-pod-count-example.json
  - type: Examples
    url: examples/akri-akri-configuration-example.json
  - type: Examples
    url: examples/akri-akri-instance-example.json
common:
- type: AgenticAccess
  url: agentic-access/akri-agentic-access.yml
- type: DomainSecurity
  url: security/akri-domain-security.yml
- url: https://github.com/project-akri
  type: GitHubOrganization
- url: https://github.com/project-akri/akri
  type: GitHubRepository
- url: https://docs.akri.sh/
  type: Documentation
- url: https://docs.akri.sh/user-guide/getting-started
  type: GettingStarted
- url: https://github.com/project-akri/akri/blob/main/CHANGELOG.md
  type: ChangeLog
- url: https://artifacthub.io/packages/helm/akri-helm-charts/akri
  type: SDKs
  title: Helm Chart
- url: https://github.com/project-akri/examples
  type: CodeExamples
  title: Example Brokers and Applications
- url: https://github.com/project-akri/akri-discovery-handler-template
  type: SDKs
  title: Discovery Handler Template (Rust)
- url: rules/akri-spectral-rules.yml
  type: SpectralRules
- url: vocabulary/akri-vocabulary.yaml
  type: Vocabulary
- url: json-ld/akri-akri-context.jsonld
  type: JSONLD
- type: Features
  data:
  - name: Dynamic Device Discovery
    description: Automatically discovers heterogeneous leaf devices (IP cameras, USB devices, industrial sensors) across Kubernetes
      cluster nodes using protocol-specific Discovery Handlers.
  - name: ONVIF Discovery Handler
    description: Discovers IP cameras via ONVIF standards and RTSP streams, with filtering by IP address, MAC address, ONVIF
      scopes, and device UUIDs.
  - name: OPC UA Discovery Handler
    description: Discovers industrial automation servers and Local Discovery Servers via OPC UA protocol, supporting x509
      certificate authentication for secure connections.
  - name: udev Discovery Handler
    description: Discovers locally attached hardware (USB devices, cameras, microphones) on Linux nodes using udev rules with
      kernel device name and capability filtering.
  - name: Automatic Workload Scheduling
    description: Automatically schedules broker Pods or Jobs per discovered device based on Akri Configuration specifications,
      managing the full workload lifecycle.
  - name: High Availability
    description: Multiple nodes can access a single leaf device, ensuring service continuity if a node fails. Supports multi-node
      device reservation.
  - name: Kubernetes Custom Resources
    description: 'Two CRDs: configurations.akri.sh for discovery specification and instances.akri.sh representing each discovered
      device as a Kubernetes resource.'
  - name: Extensible Discovery Handler Framework
    description: Community can implement custom Discovery Handlers as DaemonSets using the akri-discovery-handler-template,
      enabling support for any device protocol.
  - name: Prometheus Metrics
    description: Built-in Prometheus metrics on port 8080 for instance count, discovery response results, discovery latency,
      and broker pod count, with Grafana visualization support.
  - name: Multi-Architecture Support
    description: Supports Linux nodes on amd64, arm64v8, and arm32v7 architectures with Kubernetes v1.16+, K3s, and MicroK8s
      distributions.
- type: UseCases
  data:
  - name: Edge IoT Device Management
    description: Expose and manage IoT leaf devices such as IP cameras and USB sensors as first-class Kubernetes resources
      for edge computing workloads.
  - name: Industrial Automation Integration
    description: Connect industrial OPC UA servers and automation equipment to Kubernetes clusters for real-time monitoring
      and control workflows.
  - name: Computer Vision at the Edge
    description: Deploy ONVIF-compliant IP camera brokers automatically as cameras are discovered, enabling distributed computer
      vision processing.
  - name: Dynamic Hardware Resource Scheduling
    description: Automatically schedule GPU, FPGA, or specialized hardware workloads based on real-time device availability
      across cluster nodes.
  - name: Heterogeneous Device Fleet Management
    description: Manage fleets of diverse edge devices with different protocols from a single Kubernetes control plane using
      unified Configuration resources.
- type: Integrations
  data:
  - name: Prometheus
    description: Native Prometheus metrics integration via ServiceMonitor and PodMonitor custom resources, with Grafana visualization
      support.
  - name: Helm
    description: Official Helm chart packaging for deploying Akri Controller, Agent DaemonSet, and Discovery Handler DaemonSets.
  - name: Kubernetes Device Plugin Framework
    description: Extends the Kubernetes Device Plugin Framework with edge-specific capabilities for heterogeneous leaf device
      management.
  - name: ONVIF
    description: Built-in ONVIF protocol support for discovering and managing standards-compliant IP cameras and video devices.
  - name: OPC UA
    description: Built-in OPC UA protocol support for industrial automation device discovery with certificate-based security.
  - name: Linux udev
    description: Built-in udev integration for discovering locally attached hardware devices on Linux Kubernetes nodes.
  - name: CNCF Ecosystem
    description: CNCF Sandbox project integrating with cloud native tooling including K3s, MicroK8s, and standard Kubernetes
      distributions.
- type: LlmsText
  url: https://docs.akri.sh/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com