Infini-AI (无问芯穹)
Infini-AI (无问芯穹 / Infinigence AI) is a Chinese AGI compute and model-service platform, backed by Qiming, that helps teams optimize model development, fine-tuning, and inference across heterogeneous compute. Its GenStudio large-model service (MaaS) exposes an OpenAI-compatible REST API over a broad catalog of open- and closed-source models (LLM chat/completions plus image and video generation), with LoRA/SFT fine-tuning and multi-LoRA deployment. The platform also offers a fully managed ComfyUI workflow-hosting service (with a WebSocket API) and an Agent Service Platform for building and deploying agent applications and skills. Developers authenticate with a tenant-managed API Key sent as a Bearer token; tenant/IAM, usage analytics, rate limits, billing, and error-code references are documented at docs.infini-ai.com and the cloud console.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Infini-AI (无问芯穹) the way a machine reads it — 3 machine-readable artifacts across 1 API, 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 — Infini-AI (无问芯穹) scores 23.1/100 (emerging), with a separate agent-readiness read of 17/100 (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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Infini-AI (无问芯穹)
Each block below is one kind of artifact we hold for Infini-AI (无问芯穹). 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 1
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.
Infini-AI GenStudio Large-Model Service (MaaS)
OpenAI-compatible model-inference API over Infini-AI's catalog of open- and closed-source models. Bearer (API Key) authentication; chat/completions, models, embeddings and image...
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.
Resources
Every other property we hold for Infini-AI (无问芯穹) — 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 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Access & Security 2
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
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