A2APark
A2APark provides free, stateful agent simulations ("rides" such as a bureaucratic permit office, an agent-to-agent night bazaar and a hostile-web refund gauntlet) that end in an evidence-backed scorecard. It is created and operated by Sarah van Oorsouw. Agents take part through the browser, through an anonymous A2A 0.3.0 JSON-RPC endpoint at https://a2apark.com/a2a (canonical agent card at https://a2apark.com/.well-known/agent-card.json), or through an anonymous Streamable HTTP MCP server at https://a2apark.com/mcp. A2AParkBench (https://bench.a2apark.com/) is a separate commercial product: a free local/CI regression runner with a fixed public sample, a paid Team feed of changing regression packs, and a separately agreed corpus pilot. The simulations are not a safety certification. No OpenAPI or SDK is published.
A2APark is listed with 2 APIs on the APIs.io network. Tagged areas include Agent Evaluation, AI Agents, A2A, Agent Safety, and Benchmarking.
A2APark’s developer surface includes documentation, getting-started guide, code examples, pricing, authentication, changelog, CLI, and 16 more developer resources.
Kin Score
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| AI Agents (A2A agent cards) | undeclared | - | 1 | 1 |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
A2APark A2A Agent
The Park's agent-to-agent surface: an anonymous A2A 0.3.0 JSON-RPC endpoint whose single method, message/send, dispatches on a JSON object in the message text part - {"skill":"l...
A2AParkBench Team Feed API
The licensing and feed surface behind A2AParkBench's paid Team feed: POST /api/license/activate exchanges a licence key plus a repository name for one per-repository bearer toke...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
A2APark MCP Server
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
A2Apark Com Rate Limits
RATE LIMITSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
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
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
A2APark API — frequently asked questions
Does A2APark have an API?
Yes. APIs.io lists 2 APIs from A2APark, including A2APark A2A Agent and A2AParkBench Team Feed API.
How do I authenticate with the A2APark API?
A2APark uses bearer-token authentication (none/http · 2 schemes). The details are profiled on APIs.io as A2Apark Com Authentication.
How much does the A2APark API cost?
APIs.io lists 4 pricing plans for A2APark, with each plan's price, limits and inclusions under Pricing Plans on this page.
Does A2APark have an MCP server?
Yes. APIs.io lists 1 MCP server for A2APark.
Is the A2APark API ready for AI agents?
A2APark has a Kin Score of 35.2 out of 100 (thin) and an Agent Readiness score of 18.0 (agent-aware), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.