CAST AI
CAST AI is an Application Performance Automation (APA) platform for Kubernetes that automates cost optimization, autoscaling, workload rightsizing, GPU/LLM workload placement, spot instance selection, and security posture analysis. The platform works across AWS, GCP, Azure, Oracle Cloud, IBM Cloud, AliCloud and on-premises distributions (EKS, GKE, AKS, OpenShift, Rancher, kOps). Everything available in the console UI is also accessible via the REST API at api.cast.ai.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles CAST AI the way a machine reads it — 68 machine-readable artifacts across 17 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 — CAST AI scores 69.1/100 (strong), 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
How we profile CAST AI
Each block below is one kind of artifact we hold for CAST AI. 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 17
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.
CAST AI AI Enabler API
Manage LLM provider integrations and AI enabler functionality for intelligent optimization.
CAST AI Allocation Groups API
Manage allocation groups and view efficiency metrics for grouped workloads.
CAST AI Autoscaler API
Autoscaler operations including triggering rebalancing plans and managing cluster scaling behavior.
CAST AI Cluster Actions API
Manage cluster controller actions including acknowledging completed actions and ingesting logs.
CAST AI Cost Reports API
Access cost reporting and efficiency data at the cluster, namespace, and workload levels.
CAST AI External Clusters API
Manage external Kubernetes clusters connected to CAST AI, including listing nodes, draining nodes, and cluster operations.
CAST AI Hibernation Schedules API
Create and manage hibernation schedules for clusters to reduce costs during off-peak hours.
CAST AI Insights API
Access security insights, best practices reports, and container image scanning information.
CAST AI Inventory API
Manage inventory resources and blacklists for instance types and regions.
CAST AI Node Configuration API
Manage node configurations for clusters, which define how nodes are provisioned and configured.
CAST AI Node Templates API
Manage node templates that define instance types, constraints, and configuration for autoscaled nodes.
CAST AI Operations API
Track and manage long-running operations within CAST AI.
CAST AI Policies API
Manage autoscaler policies configuration for clusters, including unscheduled pods, node downscaler, and spot instance policies.
CAST AI Pricing API
Access pricing information for cloud provider instances and sync billing data.
CAST AI Scheduled Rebalancing API
Create and manage scheduled rebalancing jobs that periodically optimize cluster node allocation.
CAST AI Settings API
Manage API key settings and organization-level configuration.
CAST AI Workload Optimization API
Manage workload optimization settings, view workload recommendations, and configure workload autoscaling.
Scroll within the panel for all 17 ·
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).
CAST AI Kubernetes Cost Optimization 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.
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.
Cast Ai 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.
Cast Ai Finops
FINOPSFeatures 26
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.
Kubernetes Automation
Cluster Autoscaling
Karpenter Integration
Workload Rightsizing
Bin Packing
Spot Instance Automation
Spot Interruption Prediction
GPU Optimization
LLM Optimization
Database Optimization
Cost Monitoring
Cost Reporting
Savings Analysis
Security Insights
Posture Management
Hibernation Scheduling
Node Templates
Rebalancing
Self-Healing
Policy Enforcement
Drift Remediation
Container Insights
SLO Monitoring
Performance Observability
Multi-Cloud
Air-Gapped Support
Scroll within the panel for all 26 ·
Semantic 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.
Cast Ai Context
JSON-LDSpectral Rules 1
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.
CAST AI API Rules
SPECTRALJSON Schema 6
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.
CAST AI Cluster
JSON SCHEMACAST AI Cost Report
JSON SCHEMACAST AI Node Template
JSON SCHEMACAST AI Node
JSON SCHEMACAST AI Rebalancing Schedule
JSON SCHEMACAST AI Workload
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.
Use Cases 10
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.
Kubernetes Cost Reduction
Cluster Right-Sizing
Automated Spot Instance Adoption
GPU Workload Placement
LLM Inference Cost Optimization
FinOps Reporting
Security Posture Assessment
Reserved Instance Planning
Multi-Cluster Management
Hibernation of Non-Production Clusters
Scroll within the panel for all 10 ·
Resources
Every other property we hold for CAST AI — 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 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 4
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/cast-ai · machine-readable index on apis.io