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.

Infini-AI (无问芯穹) publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, LLM, and Model as a Service.

Infini-AI (无问芯穹)’s developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, authentication, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

12.1/100 emerging ▬ flat Agent 5/100 agent aware Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

1 APIs

Company Artificial Intelligence Machine Learning LLMModel as a ServiceInferenceComfyUIAgentsAGI ComputeOpenAI-Compatible

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 12.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.5 / 10

Discoverability 6.2 / 9

Regulatory Posture 2.3 / 15

Agent readiness — 5/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

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/.

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 github.com/api-evangelist/docs: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Interfaces this provider implements that became standards by being copied rather than ratified. Each is profiled by the API Commons, and the evidence column says how the claim was established — not that it was made.

The OpenAI Interface

prose — states compatibility; nothing published to check it against

2 core of 338 operations graded · api-commons/models

APIs 1

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.

Docs Authentication

http · 1 scheme

SECURITY

Docs Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

Lifecycle

Conformance

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: docs
name: Infini-AI (无问芯穹)
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/docs/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://content.cloud.infini-ai.com/platform-web-prod/logo_small.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- qiming
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
x-docs-platform: redoc
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-25
tags:
- Company
- Artificial Intelligence
- Machine Learning
- LLM
- Model as a Service
- Inference
- ComfyUI
- Agents
- AGI Compute
- OpenAI-Compatible
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Large Language Models
- Model as a Service
- Inference
- ComfyUI
- Agents
- AGI Compute
- OpenAI-Compatible
- Machine-Learning
apis:
- name: Infini-AI GenStudio Large-Model Service (MaaS)
  description: 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/video generation endpoints under /maas/v1.
  humanURL: https://cloud.infini-ai.com/gen-studio/api/reference/maas.html
  baseURL: https://cloud.infini-ai.com/maas/v1
  tags:
  - LLM
  - Inference
  - OpenAI-Compatible
  tags_raw:
  - Large Language Models
  - Inference
  - OpenAI-Compatible
  properties:
  - type: Documentation
    url: https://cloud.infini-ai.com/gen-studio/
  - type: APIReference
    url: https://cloud.infini-ai.com/gen-studio/api/reference/maas.html
  - type: GettingStarted
    url: https://cloud.infini-ai.com/gen-studio/api/get-started/overview.html
  - type: Authentication
    url: authentication/docs-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DeveloperPortal
  url: https://cloud.infini-ai.com
- type: Documentation
  url: https://docs.infini-ai.com
- type: APIReference
  url: https://cloud.infini-ai.com/gen-studio/api/reference/maas.html
- type: GettingStarted
  url: https://cloud.infini-ai.com/gen-studio/api/get-started/overview.html
- type: Pricing
  url: https://cloud.infini-ai.com/gen-studio/api/usage-and-billing/billing.html
- type: SignUp
  url: https://cloud.infini-ai.com
- type: Authentication
  url: authentication/docs-authentication.yml
- type: ErrorCatalog
  url: errors/docs-problem-types.yml
- type: Conventions
  url: conventions/docs-conventions.yml
- type: Lifecycle
  url: lifecycle/docs-lifecycle.yml
- type: Conformance
  url: conformance/docs-conformance.yml
- type: LLMsTxt
  url: llms/docs-llms.txt
- type: DomainSecurity
  url: security/docs-domain-security.yml
- type: Website
  url: https://docs.infini-ai.com
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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