KEDA
KEDA (Kubernetes Event Driven Autoscaling) is a CNCF graduated application autoscaler that drives scaling of any container in Kubernetes based on the number of events needing to be processed. It extends Kubernetes with custom resources for defining scaling behavior and supports over 50 built-in scalers for event sources including Kafka, RabbitMQ, AWS SQS, Azure Service Bus, and Prometheus.
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.
API Evangelist profiles KEDA the way a machine reads it — 18 machine-readable artifacts across 5 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 — KEDA scores 56.1/100 (developing), with a separate agent-readiness read of 54/100 (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.
How we profile KEDA
Each block below is one kind of artifact we hold for KEDA. 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 5
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.
KEDA Metrics API
External metrics API server that exposes event-driven metrics from configured scalers to the Kubernetes Horizontal Pod Autoscaler. It implements the Kubernetes external metrics ...
KEDA ScaledObject API
The ScaledObject custom resource defines the mapping between an event source and a Kubernetes Deployment, StatefulSet, or custom resource that should be scaled based on event me...
KEDA ScaledJob API
The ScaledJob custom resource defines the mapping between an event source and Kubernetes Jobs that should be created in response to events. Unlike ScaledObject, ScaledJob create...
KEDA TriggerAuthentication API
The TriggerAuthentication and ClusterTriggerAuthentication custom resources define authentication parameters for KEDA trigger scalers, allowing credentials to be sourced from Ku...
KEDA CloudEventSource API
The CloudEventSource and ClusterCloudEventSource custom resources define HTTP or Azure Event Grid destinations where KEDA delivers CloudEvents when scaling events occur. Events ...
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).
KEDA Metrics API
OPEN COLLECTIONPricing 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.
Keda Plans Pricing
PLANSRate 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.
Keda Rate Limits
RATE LIMITSFinOps 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.
Keda Finops
FINOPSEvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
KEDA CloudEvent Source
KEDA emits CloudEvents to configured HTTP or Azure Event Grid destinations when scaling events occur. The CloudEventSource and ClusterCloudEventSource custom resources define th...
ASYNCAPISemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Keda Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
KEDA API Rules
SPECTRALKEDA API Rules
SPECTRALJSON Schema 2
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
KEDA CloudEvent
JSON SCHEMAKEDA ScaledObject
JSON SCHEMASecurity 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.
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.
Resources
Every other property we hold for KEDA — 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
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/keda · machine-readable index on apis.io