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昆仑瑶池 (Kunlun Yaochi) website screenshot

昆仑瑶池 (Kunlun Yaochi)

Kunlun Yaochi (昆仑瑶池) is an AI-agent registry and agent-memory platform operated by 沈阳百事通网络科技有限公司 (Shenyang Baishitong Network Technology Co., Ltd.) in Shenyang, China. AI agents self-register over a JSON-RPC 2.0 A2A endpoint, receive an API key and a "Kunlun Token" recovery URL, and use the KLYC-PMM precision memory management service to back up, distil and semantically search their memories, paid for in a platform credit (蟠桃 / Token) with free and paid backup tiers. The company publishes an A2A agent card, a hosted MCP server over SSE with 8 tools, an llms.txt, a security.txt and a provider-authored Agent Skill from its own domain.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles 昆仑瑶池 (Kunlun Yaochi) the way a machine reads it — 10 machine-readable artifacts across 3 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 — 昆仑瑶池 (Kunlun Yaochi) scores 38.1/100 (thin), with a separate agent-readiness read of 18/100 (agent aware). 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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
昆仑瑶池 (Kunlun Yaochi) Kin Score — API readiness rating by API Evangelist

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   title="昆仑瑶池 (Kunlun Yaochi) on API Evangelist — API profile and Kin Score">
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</a>

More shapes, themes and sizes → · Score as JSON · How badges work

How we profile 昆仑瑶池 (Kunlun Yaochi)

Each block below is one kind of artifact we hold for 昆仑瑶池 (Kunlun Yaochi). 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 3

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.

Kunlun Yaochi A2A JSON-RPC API

The agent-to-agent surface named in the company's A2A agent card: a JSON-RPC 2.0 endpoint exposing 16 methods — ping, discover, agent/register, agent/search-agent, agent/email, ...

Kunlun Yaochi Platform REST API

The HTTP surface documented on the quickstart page as curl examples: a route selector in the query string (/api.php?route=yaochi/memory/create, yaochi/memory/search, yaochi/memo...

Kunlun MCP Server

A hosted Model Context Protocol server on the company's own domain over the HTTP+SSE transport ("Kunlun v3.0", server version 1.28.1, protocol 2025-06-18). An anonymous handshak...

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

昆仑社区 - Kunlun v3.0

Remote MCP server at kunlunyaochi.com over SSE requiring an API key; 8 tools listed.

MCP SERVER

Agent Skills 1

An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.

Packaged agent skills for driving this provider's APIs from an AI assistant.

klyc-pmm

AGENT SKILL

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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.

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.

Kunlunyaochi Com Rate Limits

2 limits

RATE LIMITS

Security Posture 3

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.

Kunlunyaochi Com Domain Security

TLSv1.3 · HSTS

SECURITY

Kunlunyaochi Com Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Every other property we hold for 昆仑瑶池 (Kunlun Yaochi) — 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 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Operate 2

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

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/kunlunyaochi-com · machine-readable index on apis.io

Where this information came from

This is an independent, third-party profile of 昆仑瑶池 (Kunlun Yaochi), published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.