Qubrid AI
Qubrid AI is a cloud platform that provides GPU-accelerated infrastructure and AI services for enterprise developers. Their developer platform offers OpenAI-compatible inference endpoints, GPU compute provisioning, model fine-tuning, and retrieval-augmented generation capabilities, all running on NVIDIA GPU infrastructure.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Qubrid AI the way a machine reads it — 43 machine-readable artifacts across 4 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 — Qubrid AI scores 37.3/100 (thin), with a separate agent-readiness read of 27/100 (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
How this is scored →scored 2026-09-08 · rubric v0.20.0
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How we profile Qubrid AI
Each block below is one kind of artifact we hold for Qubrid AI. 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 13
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.
Qubrid AI Chat Completions API
Generate chat-based completions using open-source large language models hosted on NVIDIA GPU infrastructure. Compatible with the OpenAI chat completions request and response for...
Qubrid AI Datasets API
Upload and manage CSV training datasets used for fine-tuning models. Datasets must be in CSV format with columns appropriate for the selected task type (QA or non-QA).
Qubrid AI Documents API
Upload, list, and manage documents within a knowledge base. Supported formats include PDF, text, CSV, and other common document types. Documents are automatically processed, chu...
Qubrid AI Embeddings API
Generate vector embeddings from text input using embedding models hosted on the Qubrid AI platform, suitable for semantic search, clustering, and retrieval-augmented generation ...
Qubrid AI Fine-Tuned Models API
List and manage fine-tuned model artifacts produced by completed fine-tuning jobs. Fine-tuned models can be deployed for inference on the Qubrid AI platform.
Qubrid AI Fine-Tuning Jobs API
Create, monitor, and manage fine-tuning jobs that customize pre-deployed text generation and code generation models using uploaded training datasets on GPU infrastructure.
Qubrid AI GPU Catalog API
Browse available GPU types, configurations, and pricing tiers including on-demand, weekly, monthly, and reserved options for NVIDIA, AMD, and Intel accelerators.
Qubrid AI Instances API
Provision, manage, start, stop, and terminate GPU compute instances on the Qubrid AI platform. Instances include NVIDIA H100, H200, and B200 accelerators with configurable memor...
Qubrid AI Knowledge Bases API
Create and manage knowledge bases that store enterprise and departmental data for retrieval-augmented generation. Each knowledge base contains ingested documents that are chunke...
Qubrid AI Models API
List and retrieve details about the open-source AI models available for inference on the Qubrid AI platform, including text generation, code generation, vision-language, and ima...
Qubrid AI RAG Queries API
Query a knowledge base using natural language with retrieval-augmented generation. The API retrieves relevant document chunks from the knowledge base and uses them as context fo...
Qubrid AI SSH Keys API
Manage SSH keys for secure access to GPU compute instances. Users get full root access to their instances for installing custom libraries, running scripts, and managing workloads.
Qubrid AI Templates API
List and deploy pre-configured AI and ML environment templates including PyTorch, TensorFlow, ComfyUI, n8n, and Langflow, all optimized to run on Qubrid GPU instances.
Scroll within the panel for all 13 ·
Open Collections 18
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONQubrid AI Compute Chat Completions API
OPEN COLLECTIONQubrid AI Compute API
OPEN COLLECTIONQubrid AI Compute Chat Completions Datasets API
OPEN COLLECTIONQubrid AI Compute Chat Completions Documents API
OPEN COLLECTIONQubrid AI Compute Chat Completions Embeddings API
OPEN COLLECTIONQubrid AI Compute Chat Completions Fine-Tuned Models API
OPEN COLLECTIONQubrid AI Compute Chat Completions Fine-Tuning Jobs API
OPEN COLLECTIONQubrid AI Fine-Tuning API
OPEN COLLECTIONQubrid AI Compute Chat Completions GPU Catalog API
OPEN COLLECTIONQubrid AI Inference API
OPEN COLLECTIONQubrid AI Compute Chat Completions Instances API
OPEN COLLECTIONQubrid AI Compute Chat Completions Knowledge Bases API
OPEN COLLECTIONQubrid AI Compute Chat Completions Models API
OPEN COLLECTIONQubrid AI Compute Chat Completions RAG Queries API
OPEN COLLECTIONQubrid AI RAG API
OPEN COLLECTIONQubrid AI Compute Chat Completions SSH Keys API
OPEN COLLECTIONQubrid AI Compute Chat Completions Templates API
OPEN COLLECTIONScroll within the panel for all 18 ·
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.
Qubrid Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Qubrid Ai Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Qubrid Ai Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Qubrid AI API Rules
SPECTRALJSON Schema 4
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Qubrid AI Compute Entities
JSON SCHEMAQubrid AI Fine-Tuning Entities
JSON SCHEMAQubrid AI Inference Entities
JSON SCHEMAQubrid AI RAG Entities
JSON SCHEMASecurity 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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Qubrid AI — 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 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/qubrid-ai · machine-readable index on apis.io
This is an independent, third-party profile of Qubrid AI, 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.
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