长亭百智云

长亭百智云 (Changting Baizhi Cloud) provides an AI infrastructure platform that integrates online services, applications, and on‑premise solutions, enabling enterprises to rapidly build and deploy AI capabilities. The platform offers a suite of APIs, large‑model gateways, knowledge‑base services, document and web parsing, and AI skill hubs, supporting various AI models and enabling secure, scalable AI integration for business workflows.

长亭百智云 is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Cloud, Platform, Enterprise, and Chinese.

长亭百智云’s developer surface includes sandbox and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

7.5/100 minimal ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessOpen

1 API 1 MCP Servers

Artificial Intelligence Cloud Platform Enterprise Chinese

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 7.5/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.8 / 9

Regulatory Posture 3.0 / 15

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/baizhi-cloud/"><img src="https://apis.io/badge/baizhi-cloud/card.svg" alt="长亭百智云 on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 0.0 — up to +20.0 composite points
Developer Ergonomics scores 3.6 — up to +19.3 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/baizhi-cloud/apis.yml: open an issue on github.com/api-evangelist/baizhi-cloud to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Financial Data API

Financial data platform providing market and fundamental data via API.

MCP Servers 1

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

长亭百智云 MCP Server

Remote MCP server at model-evaluation.app.baizhi.cloud.

MCP SERVER

长亭百智云 API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Baizhi Cloud Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Baizhi Cloud Rate Limits

0 limits

RATE LIMITS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Baizhi Cloud Authentication

0 schemes

SECURITY

Baizhi Cloud Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Baizhi Cloud Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

Sandbox

Sandbox

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: baizhi-cloud
name: 长亭百智云
description: 长亭百智云 (Changting Baizhi Cloud) provides an AI infrastructure platform that integrates online services, applications,
  and on‑premise solutions, enabling enterprises to rapidly build and deploy AI capabilities. The platform offers a suite
  of APIs, large‑model gateways, knowledge‑base services, document and web parsing, and AI skill hubs, supporting various
  AI models and enabling secure, scalable AI integration for business workflows.
url: https://artifacts.apis.io/baizhi-cloud/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-02 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: open
  trial: false
  try_now: false
  public: true
  gated: none
  gated_source:
  - onboarding
  label: Open access
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.20'
created: '2026-11-02'
modified: '2026-11-02'
tags:
- Artificial Intelligence
- Cloud
- Platform
- Enterprise
- Chinese
tags_raw:
- AI
- Cloud
- Platform
- Enterprise
- Chinese
image: https://baizhi.cloud/images/platform-logo.png
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: MCPServer
  url: mcp/baizhi-cloud-mcp.yml
- type: WellKnown
  url: well-known/baizhi-cloud-well-known.yml
- type: Hosts
  url: hosts/baizhi-cloud-hosts.yml
- type: Sandbox
  url: https://baizhi.cloud/console/apps
- type: GitHubOrganization
  url: https://github.com/chaitin
- type: DomainSecurity
  url: security/baizhi-cloud-domain-security.yml
- type: Website
  url: https://baizhi.cloud/
apis:
- name: Financial Data API
  description: Financial data platform providing market and fundamental data via API.
  humanURL: https://baizhi.cloud/landing/financial-api
  aid: baizhi-cloud:financial-data-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Landing page https://baizhi.cloud/landing/financial-api lists API usage but no published OpenAPI or other machine‑readable
    contract.
  evidence:
  - url: https://baizhi.cloud/landing/financial-api
    status: 200
  checked: '2026-11-02'
x-enrichment:
  date: '2026-11-02'
  status: enriched
  artifacts_added: 20
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

长亭百智云 API — frequently asked questions

Does 长亭百智云 have an API?

Yes. APIs.io lists 1 API from 长亭百智云, including Financial Data API.

How do I authenticate with the 长亭百智云 API?

长亭百智云 documents its authentication (0 schemes). The details are profiled on APIs.io as Baizhi Cloud Authentication.

Does 长亭百智云 have an MCP server?

Yes. APIs.io lists 1 MCP server for 长亭百智云: Remote MCP server at model-evaluation.app.baizhi.cloud.

Is the 长亭百智云 API ready for AI agents?

长亭百智云 has a Kin Score of 7.5 out of 100 (minimal) and an Agent Readiness score of 19.6 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/baizhi-cloud"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/baizhi-cloud/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/baizhi-cloud/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.