APIPark
APIPark is an open-source, cloud-native AI gateway and API developer portal that helps developers and enterprises manage, integrate, and deploy AI and API services. It supports 100+ AI models from all major AI providers, provides API lifecycle management, authentication, rate limiting, and cluster deployment for large-scale traffic. Teams can combine AI models with custom prompts to create new AI-powered services such as sentiment analysis, translation, or data analysis.
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 APIPark the way a machine reads it — 32 machine-readable artifacts across 4 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 — APIPark scores 56.5/100 (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.
How we profile APIPark
Each block below is one kind of artifact we hold for APIPark. 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 4
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.
APIPark AI Models API
The AI Models API from APIPark — 1 operation(s) for ai models.
APIPark Services API
The Services API from APIPark — 1 operation(s) for services.
APIPark Subscriptions API
The Subscriptions API from APIPark — 1 operation(s) for subscriptions.
APIPark Teams API
The Teams API from APIPark — 1 operation(s) for teams.
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.
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.
Apipark 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.
Apipark Finops
FINOPSFeatures 7
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.
AI Gateway
Unified AI gateway supporting 100+ AI models from OpenAI, Anthropic, Google, Meta, Mistral, and other major providers.
Prompt Engineering
Combine AI models with custom system prompts to create new API services for specific use cases.
API Developer Portal
Full-featured developer portal for publishing, discovering, and subscribing to API services.
Multi-Tenant Teams
Team-based multi-tenancy for separating API services and subscriptions across organizational units.
API Lifecycle Management
Complete API lifecycle from service creation through publication, subscription, and deprecation.
Rate Limiting and Authentication
Built-in API key authentication, rate limiting, and traffic management for all published services.
Cluster Deployment
Cloud-native cluster deployment supporting large-scale production traffic with high availability.
Scroll within the panel for all 7 ·
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.
Apipark 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.
APIPark 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.
APIPark AI Model
JSON SCHEMAAPIPark Service
JSON SCHEMAJSON Structure 2
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Apipark Ai Model Structure
JSON STRUCTUREApipark Service Structure
JSON STRUCTUREExamples 2
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Apipark Ai Model Example
EXAMPLEApipark Service Example
EXAMPLESecurity 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 4
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.
AI API Standardization
Standardize access to 100+ AI models through a unified API interface, enabling model switching without code changes.
AI Service Creation
Combine AI models with custom prompts to create specialized AI-powered APIs for specific domains.
Enterprise AI Governance
Govern AI model access, usage costs, and rate limits across multiple teams from a centralized portal.
Internal API Marketplace
Build an internal API marketplace for teams to discover and subscribe to AI and traditional API services.
Solutions 3
Packaged solutions the provider offers on top of the raw API surface.
Packaged solutions this provider offers.
Open Source
Free, Apache 2.0 licensed self-hosted deployment for organizations with full control over infrastructure.
Cloud
Managed cloud deployment for teams who prefer not to manage infrastructure.
Enterprise
Enterprise support, SLA guarantees, and professional services for large-scale deployments.
Resources
Every other property we hold for APIPark — 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.
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 3
The organization behind the API
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