Argo Workflows

Argo Workflows is an open-source, container-native workflow engine for orchestrating parallel jobs on Kubernetes. It is a CNCF graduated project that allows you to define workflows where each step is a container, model multi-step workflows as sequences of tasks or DAGs, and run compute-intensive jobs for machine learning, data processing, and CI/CD pipelines natively on Kubernetes. Governed by the Linux Foundation and the CNCF.

agent ready

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

travel_explore apis.io index code GitHub source public Website

API Evangelist profiles Argo Workflows the way a machine reads it — 1294 machine-readable artifacts across 11 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Argo Workflows scores 58.5/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 58.5/100 · developing

Contract Quality 14.6 / 25

Developer Ergonomics 10.0 / 20

Commercial Clarity 7.9 / 20

Operational Transparency 6.8 / 13

Governance 10.4 / 12

Discoverability 8.8 / 10

Agent readiness — 48/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 15 / 15

MCP Server 0 / 12

Machine-Readable Auth 10 / 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

How we profile Argo Workflows

Each block below is one kind of artifact we hold for Argo Workflows. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 11

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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

Argo Workflows ArchivedWorkflowService API

The ArchivedWorkflowService API from Argo Workflows — 6 operation(s) for archivedworkflowservice.

Argo Workflows ArtifactService API

The ArtifactService API from Argo Workflows — 5 operation(s) for artifactservice.

Argo Workflows ClusterWorkflowTemplateService API

The ClusterWorkflowTemplateService API from Argo Workflows — 3 operation(s) for clusterworkflowtemplateservice.

Argo Workflows CronWorkflowService API

The CronWorkflowService API from Argo Workflows — 5 operation(s) for cronworkflowservice.

Argo Workflows EventService API

The EventService API from Argo Workflows — 2 operation(s) for eventservice.

Argo Workflows EventSourceService API

The EventSourceService API from Argo Workflows — 4 operation(s) for eventsourceservice.

Argo Workflows InfoService API

The InfoService API from Argo Workflows — 4 operation(s) for infoservice.

Argo Workflows SensorService API

The SensorService API from Argo Workflows — 4 operation(s) for sensorservice.

Argo Workflows SyncService API

The SyncService API from Argo Workflows — 2 operation(s) for syncservice.

Argo Workflows WorkflowService API

The WorkflowService API from Argo Workflows — 15 operation(s) for workflowservice.

Argo Workflows WorkflowTemplateService API

The WorkflowTemplateService API from Argo Workflows — 3 operation(s) for workflowtemplateservice.

Scroll within the panel for all 11 ·

Open Collections 1

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Argo Workflows

OPEN COLLECTION

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Argo Workflows Plans Pricing

3 plans

PLANS

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Argo Workflows Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

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

Argo Workflows Finops

FINOPS

Features 12

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Container-Native Workflows

Every workflow step runs as a Kubernetes container, providing complete isolation and reproducibility.

DAG and Step-Based Orchestration

Define multi-step workflows as sequential steps or directed acyclic graphs (DAGs) with dependencies.

Parallel Execution

Run multiple workflow steps in parallel to maximize compute utilization and reduce execution time.

Workflow Templates

Store and reuse workflow definitions as templates across the cluster.

Cron Workflows

Schedule workflows to run on cron schedules directly on Kubernetes.

Artifact Support

Pass artifacts between workflow steps via S3, GCS, Azure Blob, Artifactory, and more.

Workflow Archive

Persist workflow history to a database for long-term retention and querying.

Web UI

Monitor and manage workflows through a rich graphical interface.

Multi-Tenancy

Namespace-based isolation with RBAC for multi-team environments.

Event-Driven Triggers

Trigger workflows from Kubernetes events, webhooks, and custom event sources.

Python SDK (Hera)

Define workflows in Python using the Hera SDK, the official Python SDK.

Argo Workflows Sync Context

4 classes · 5 properties

JSON-LD

Scroll within the panel for all 7 ·

Argo Workflows Sync Sync Config Type Structure

0 properties

JSON STRUCTURE

Argo Workflows Sync Sync Limit Response Structure

5 properties

JSON STRUCTURE

Argo Workflows Sync Update Sync Limit Request Structure

Argo Workflows Sync Create Sync Limit Request Example

5 fields

EXAMPLE

Argo Workflows Sync Sync Limit Response Example

5 fields

EXAMPLE

Argo Workflows Sync Update Sync Limit Request Example

5 fields

EXAMPLE

Scroll within the panel for all 397 ·

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Argo Workflows Authentication

apiKey · 1 scheme

SECURITY

Argo Workflows Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

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

Argo Workflows Agentic Access

73 operations · 39 acting · 2 human-in-the-loop

73 operations · 39 acting

AGENTIC

Use Cases 6

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Machine Learning Pipelines

Orchestrate data preparation, model training, evaluation, and deployment as containerized steps.

Data Processing and ETL

Run parallel data transformation and ETL jobs at scale on Kubernetes.

CI/CD on Kubernetes

Run CI/CD pipelines natively on Kubernetes without external CI tools.

Batch Processing

Process large datasets in parallel with automatic resource management.

Infrastructure Automation

Automate infrastructure provisioning, testing, and validation workflows.

Scientific Computing

Orchestrate complex scientific computation and simulation jobs with dependencies.

Integrations 10

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Python Hera SDK

Official Python SDK for defining and submitting workflows programmatically.

Argo CD

Use Argo CD to deploy and manage Argo Workflows resources via GitOps.

Prometheus

Expose workflow metrics for Prometheus monitoring and alerting.

Grafana

Visualize workflow performance metrics in Grafana dashboards.

HashiCorp Vault

Inject secrets into workflow containers securely via Vault integration.

Amazon S3

Use S3 as artifact storage for passing data between workflow steps.

Google GCS

Use Google Cloud Storage as artifact backend.

Azure Blob Storage

Use Azure Blob Storage for artifact persistence.

Kubeflow

Run Kubeflow ML pipelines using Argo Workflows as the underlying engine.

Apache Spark

Orchestrate Apache Spark jobs as Argo Workflow steps.

Scroll within the panel for all 10 ·

Resources

Every other property we hold for Argo Workflows — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubRepository

CLI

SDKs

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 3

Status, limits, changes, and where to get help

ReleaseNotes

ReleaseNotes

ChangeLog

ChangeLog

Support

Support

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

← All providers · Data indexed from github.com/api-evangelist/argo-workflows · machine-readable index on apis.io

Discovery

Learnings

Guidance

Toolbox

Alignment

API Evangelist LLC

Argo Workflows

APIs 11

Open Collections 1

Pricing Plans 1

Rate Limits 1

FinOps 1

Features 12

Container-Native Workflows

DAG and Step-Based Orchestration

Parallel Execution

Workflow Templates

Cron Workflows

Artifact Support

Workflow Archive

Web UI

Multi-Tenancy

Event-Driven Triggers

Python SDK (Hera)

Plugin Architecture

Semantic Vocabularies 7

Spectral Rules 2

JSON Schema 421