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Yunqi (ClickZetta / Singdata Lakehouse)

Yunqi (云器科技, English brands ClickZetta and Singdata) is a cloud-native AI Lakehouse company that unifies structured, semi-structured, and unstructured data on Apache Iceberg behind a single vectorized SQL engine. Its proprietary Generic Incremental Computation (GIC) model powers Dynamic Table pipelines, compute-storage separation, and native AI capabilities such as vector search, LLM functions, and Semantic Views. The platform is consumed programmatically through JDBC, an official Python connector (PEP 249), a Java SDK, the ZettaPark DataFrame API, a dbt adapter, a SQLAlchemy dialect, a Go client, and an AI-agent-friendly CLI, delivered as a fully managed SaaS on Alibaba Cloud, Tencent Cloud, and AWS. Backed by Qiming Venture Partners.

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 Yunqi (ClickZetta / Singdata Lakehouse) the way a machine reads it — 3 machine-readable artifacts, 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 — Yunqi (ClickZetta / Singdata Lakehouse) scores 33.7/100 (thin), with a separate agent-readiness read of 26/100 (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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 33.7/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 15.2 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 26/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Yunqi (ClickZetta / Singdata Lakehouse)

Each block below is one kind of artifact we hold for Yunqi (ClickZetta / Singdata Lakehouse). 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.

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.

yunqi-mcp.yml

MCP SERVER

Security 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.

Yunqi Authentication

username-password/key-pair/oauth2 · 3 schemes

SECURITY

Yunqi Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Yunqi (ClickZetta / Singdata Lakehouse) — 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 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 4

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 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

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