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ThemeParks.wiki

An ever-growing database of real-time data for the world's best theme parks, including wait times, schedules, and park information.

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.

Kin Score

API Evangelist profiles ThemeParks.wiki the way a machine reads it — 57 machine-readable artifacts across 2 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 — ThemeParks.wiki scores 52.3/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 52.3/100 · developing
Contract Quality 17.3 / 25
Developer Ergonomics 3.9 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 4.8 / 13
Governance 10.4 / 12
Discoverability 8.0 / 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 ThemeParks.wiki

Each block below is one kind of artifact we hold for ThemeParks.wiki. 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 2

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.

ThemeParks.wiki Destinations API

Theme park resort destinations

ThemeParks.wiki Entities API

Park entities including rides, shows, restaurants, and parks

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).

ThemeParks.wiki API

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.

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.

Themeparks Wiki 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.

Features 6

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.

Real-Time Wait Times

Live queue wait times and operational status for attractions at 75+ destinations

Park Schedules

Operating hours, special event schedules, and monthly calendar views for parks

Destination Catalog

Complete listing of all supported theme park resort destinations worldwide

Entity Metadata

Detailed information for parks, attractions, shows, and restaurants

Live Operational Status

Real-time OPERATING, DOWN, CLOSED, and REFURBISHMENT status for all entities

Monthly Schedule Lookup

Historical and future operating schedules by specific month and year

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.

Themeparks Wiki Context

12 classes · 32 properties

JSON-LD

Spectral 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.

ThemeParks.wiki API Rules

5 rules · 3 warnings

SPECTRAL

ThemeParks.wiki API Rules

27 rules · 8 errors · 15 warnings

SPECTRAL

JSON Schema 11

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.

ChildrenResponse

4 properties

JSON SCHEMA

Destination

5 properties

JSON SCHEMA

DestinationsResponse

1 properties

JSON SCHEMA

Entity

7 properties

JSON SCHEMA

LiveDataResponse

4 properties

JSON SCHEMA

LiveEntityData

7 properties

JSON SCHEMA

Location

2 properties

JSON SCHEMA

Park

2 properties

JSON SCHEMA

QueueData

1 properties

JSON SCHEMA

ScheduleEntry

5 properties

JSON SCHEMA

ScheduleResponse

4 properties

JSON SCHEMA

Scroll within the panel for all 11 ·

JSON Structure 11

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.

Themeparks Wiki Destination Structure

5 properties

JSON STRUCTURE

Themeparks Wiki Entity Structure

7 properties

JSON STRUCTURE

Themeparks Wiki Live Entity Data Structure

7 properties

JSON STRUCTURE

Themeparks Wiki Location Structure

2 properties

JSON STRUCTURE

Themeparks Wiki Park Structure

2 properties

JSON STRUCTURE

Themeparks Wiki Queue Data Structure

1 properties

JSON STRUCTURE

Themeparks Wiki Schedule Entry Structure

5 properties

JSON STRUCTURE

Scroll within the panel for all 11 ·

Examples 11

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.

Scroll within the panel for all 11 ·

Security Posture 1

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.

Themeparks Wiki Domain Security

TLSv1.3 · HSTS · DMARC

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.

Themeparks Wiki Agentic Access

6 operations

6 operations · 0 acting

AGENTIC

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.

Trip Planning

Research park schedules and wait time patterns before visiting

Real-Time Monitoring

Monitor live wait times and attraction availability during a park visit

Media Centers

Power home media center displays with live park data and wait times

AI Park Assistant

Power AI agents that help users plan and navigate theme park visits

Integrations 3

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

Pre-built integrations with other platforms and tools.

EmulationStation/RetroPie

Community integrations for theme park data displays

Home Assistant

Smart home integrations for displaying live park data on dashboards

Kodi

Media center plugin integrations for theme park information

Resources

Every other property we hold for ThemeParks.wiki — 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 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Company 1

The organization behind the API

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