Upstage
Upstage is a Korean AI company offering the Solar LLM family and document AI (Document Parse, OCR, Information Extract, Classify) through Upstage Console at https://api.upstage.ai/v1. Its Solar Decide model (beta, built on Solar Mini 4) is exposed at POST /v1/systemone, a System One-style endpoint taking a state plus typed questions (choice, score, noul) and returning calibrated decisions; output tokens are not billed. API references are published as markdown under console.upstage.ai/api/ with an llms.txt index; the reference pages cite OpenAPI files (e.g. ./openapi/openapi-systemone.yaml) that are not publicly retrievable, so no provider-published OpenAPI was saved.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Upstage the way a machine reads it — 21 machine-readable artifacts across 12 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 — Upstage scores 42.1/100 (developing), with a separate agent-readiness read of 24/100 (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.
Why this profile is thin
the company publishes developer documentation but serves no machine-readable contract from it
The documentation is public — a person can read it, but a machine cannot. This one is Upstage's to change: publishing an OpenAPI (or AsyncAPI for events) at a stable URL would make the same surface consumable by a crawler, a linter, and an AI agent.
What we probed
https://solar-chat.upstage.ai/mcp→ HTTP 403https://upstage.ai→ HTTP 200
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.
Put this on your own site. The badge is drawn live from Upstage's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
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[](https://providers.apievangelist.com/providers/upstage-ai/)
<!-- Kin Score · API Evangelist -->
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title="Upstage on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/upstage-ai/card.svg"
alt="Upstage Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>
More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Upstage
Each block below is one kind of artifact we hold for Upstage. 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 12
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.
Upstage Chat Completions API
POST /chat/completions for Solar models (OpenAI-compatible).
Upstage Responses API
OpenAI-compatible Responses API with structured outputs, tool calling, reasoning and file_search.
Upstage Embeddings API
Solar Embedding vectors for passages and queries.
Upstage Document Parse API
Parse documents into structured HTML or Markdown, sync and async.
Upstage Document OCR API
OCR for scanned documents and images.
Upstage Universal Information Extraction API
Schema-driven structured extraction from documents, with async and schema generation.
Upstage Document Classification API
Classify documents into user-defined classes.
Upstage Groundedness Check API
Check LLM answers against source context.
Upstage Translation API
Korean, English and Japanese translation models.
Upstage Vector Stores API
Create, manage and search vector stores and file batches for file search.
Upstage Agents API
Run Studio document agents: upload files and create/retrieve jobs.
Upstage System One API
The System One API from Upstage — 1 operation(s) for system one.
Scroll within the panel for all 12 ·
MCP Servers 2
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.
MCP server guide
MCP SERVERRate 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.
Upstage Ai Rate Limits
RATE LIMITSSemantic 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.
Upstage 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.
Upstage API Rules
SPECTRALJSON Schema 2
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.
SystemOneRequest
JSON SCHEMASystemOneResponse
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.
Resources
Every other property we hold for Upstage — 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 1
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 8
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 8 ·
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 7
Status, limits, changes, and where to get help
Scroll within the panel for all 7 ·
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/upstage-ai · machine-readable index on apis.io
This is an independent, third-party profile of Upstage, 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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you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.