Segmind

Segmind is a serverless GPU inference platform that puts 200+ generative AI models — image, video, audio, 3D and LLM — behind one REST gateway with a single API key. Calls are metered per GPU-second or per generation against a prepaid credit balance, with the cost of every request reported inline on the response. The v2 asynchronous API is a submit-poll-fetch job contract built for long-running video and upscaling work, while the v1 synchronous route remains for fast models. Alongside the gateway, PixelFlow is a visual workflow builder that chains models on a canvas and publishes any workflow as its own production REST API, and dedicated endpoints run a chosen model on reserved GPUs with autoscaling. A first-party Python SDK, a browser playground, media-editing endpoints and a weekly dated changelog round out the developer surface.

Segmind publishes 7 API contracts indexed on the APIs.io network, including Inference API, Account API, Storage API, and 4 more. Tagged areas include Artificial Intelligence, Machine Learning, Generative AI, Inference, and Image Generation.

The Segmind catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Segmind’s developer surface includes documentation, API reference, getting-started guide, support, signup flow, pricing, changelog, and 30 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

66.9/100 exemplar ▬ flat Agent 32/100 agent ready Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract

Artificial Intelligence Machine Learning Generative AI Inference Image Generation Video Generation Serverless GPU Workflows Fine-Tuning

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

Fine-tuningInference

POST /finetune/request/submit GET /finetune/request/file/download POST /v2/{model_name}

What people ask Segmind 4

The questions people put to an LLM, and the jobs they hand an agent, that Segmind's APIs answer — each one linked to the operation that does it. Generated by API Evangelist

Segmind Fine-tuning API Start a fine-tuning job “How do I kick off fine-tuning a model on my own training data?” Get details of a fine-tuning request “What is the progress and configuration of one specific fine-tune request?” List my fine-tuning requests “Which fine-tuning jobs have I submitted so far?” Make a fine-tuned model public or private “How do I make my fine-tuned model public so others can use it?”

Segmind Inference API Run a model and wait for the output “How do I call a model like fast-flux-schnell and get the result back in the same response?” Queue a model request to run in the background “How do I submit a long-running model job and get a request ID to check on later?” Check whether an async request has finished “Is my queued model request still processing or has it completed?” Get the full output of an async request “Where do I fetch the generated output once my async model request completes?”

Segmind Storage API Upload a file as a reusable asset “How do I upload an image so I can reuse it as an input across model requests?”

Segmind Account API Check my remaining credit balance “How many Segmind credits do I have left on my account?”

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 66.9/100 · exemplar

Contract Quality 9.9 / 19

Developer Ergonomics 11.8 / 15

Access Clarity 12.6 / 15

Operational Transparency 7.2 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 5.5 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 32/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 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 7 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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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/segmind: 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
MLOps and AI/ML Infrastructure (LF AI & Data, MLPerf, Kubeflow)	undeclared	-	-	1
Agent Skills (SKILL.md packages)	undeclared	-	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

APIs 7

Individual APIs this provider publishes, each with its own machine-readable definition.

Segmind

The Segmind AI Gateway — one REST surface in front of 200+ generative AI models for image, video, audio, 3D and text, authenticated with a single API key and metered against a p...

Segmind Inference API

Synchronous (v1) and asynchronous (v2) model inference. v2 is the current contract — submit a job, poll a lightweight status endpoint, fetch the result — and reports cost, remai...

Segmind Account API

Read the account's spendable and free credit balance. Runs no model and costs nothing, and is the documented way to verify that an API key works.

Segmind Storage API

Upload a file to Segmind Storage and get a reusable URL to pass as an image input to any model, instead of re-uploading the same file. Served from the workflows host.

Segmind PixelFlow Workflow API

Call a published PixelFlow workflow over REST. Submit to POST /workflows/v2/{slug} with the key names given to the workflow's input nodes, poll the status URL, and fetch the res...

Segmind Dedicated Endpoints API

Manage dedicated GPU endpoints programmatically — list, add, update capacity and delete. Served from a separate control-plane host and authenticated with the same API key. Add, ...

Segmind Fine-tuning API

DEPRECATED. Fine-tuning request management and data handling. Segmind's fine-tuning service no longer accepts new training jobs; existing fine-tuned models remain available for ...

5 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Segmind Rate Limits

7 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Segmind Finops

FINOPS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Segmind Webhooks

ASYNCAPI

OpenAPI Overlays 8

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Segmind Account Api Overlay

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Segmind Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Segmind Agentic Access

12 operations · 5 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgentSkill

LLMsTxt

LlmsText

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Lifecycle

Conventions

ErrorCatalog

Conformance

DataModel

Webhooks

Build 3

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

DomainSecurity

Authentication

OAuthScopes

Compliance

Operate 5

Status, limits, changes, and where to get help

Support

StatusPage

ChangeLog

Deprecation

RateLimits

Commercial 5

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

FinOps

Company 3

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: segmind
name: Segmind
description: Segmind is a serverless GPU inference platform that puts 200+ generative AI models — image, video, audio, 3D
  and LLM — behind one REST gateway with a single API key. Calls are metered per GPU-second or per generation against a prepaid
  credit balance, with the cost of every request reported inline on the response. The v2 asynchronous API is a submit-poll-fetch
  job contract built for long-running video and upscaling work, while the v1 synchronous route remains for fast models. Alongside
  the gateway, PixelFlow is a visual workflow builder that chains models on a canvas and publishes any workflow as its own
  production REST API, and dedicated endpoints run a chosen model on reserved GPUs with autoscaling. A first-party Python
  SDK, a browser playground, media-editing endpoints and a weekly dated changelog round out the developer surface.
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
position: Consuming
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/segmind.png
tags:
- Artificial Intelligence
- Machine Learning
- Generative AI
- Inference
- Image Generation
- Video Generation
- Serverless
- GPU
- Workflows
- Fine-Tuning
tags_raw:
- Artificial Intelligence
- Machine Learning
- Generative AI
- Inference
- Image Generation
- Video Generation
- Text to Image
- Text to Video
- Serverless
- GPU
- Workflows
- Fine-Tuning
- Machine-Learning
- Image-Generation
- Text-to-Image
- Text-to-Video
created: '2025-03-01'
modified: '2026-08-27'
url: https://raw.githubusercontent.com/api-evangelist/segmind/refs/heads/main/apis.yml
specificationVersion: '0.23'
common:
- type: CapabilityMap
  url: capabilities/segmind-capability-edges.yml
  name: Segmind Business Capability Map
- type: Website
  url: https://www.segmind.com/
- type: DeveloperPortal
  url: https://docs.segmind.com/
- type: Documentation
  url: https://docs.segmind.com/
- type: APIReference
  url: https://docs.segmind.com/docs/serverless-api
- type: GettingStarted
  url: https://docs.segmind.com/docs/get-started/quickstart
- type: Support
  url: https://docs.segmind.com/docs/get-started/support
- type: SignUp
  url: https://platform.segmind.com/
- type: Pricing
  url: https://www.segmind.com/pricing
- type: TermsOfService
  url: https://www.segmind.com/terms
- type: PrivacyPolicy
  url: https://www.segmind.com/privacy
- type: StatusPage
  url: https://status.segmind.com
- type: ChangeLog
  url: changelog/segmind-changelog.yml
- type: Deprecation
  url: lifecycle/segmind-lifecycle.yml
- type: Lifecycle
  url: lifecycle/segmind-lifecycle.yml
- type: Plans
  url: plans/segmind-plans-pricing.yml
- type: RateLimits
  url: rate-limits/segmind-rate-limits.yml
- type: FinOps
  url: finops/segmind-finops.yml
- type: AgenticAccess
  url: agentic-access/segmind-agentic-access.yml
- type: DomainSecurity
  url: security/segmind-domain-security.yml
- type: Authentication
  url: authentication/segmind-authentication.yml
- type: OAuthScopes
  url: scopes/segmind-scopes.yml
- type: Conventions
  url: conventions/segmind-conventions.yml
- type: ErrorCatalog
  url: errors/segmind-error-codes.yml
- type: Conformance
  url: conformance/segmind-conformance.yml
- type: Compliance
  url: conformance/segmind-conformance.yml
- type: DataModel
  url: data-model/segmind-data-model.yml
- type: Packages
  url: packages/segmind-packages.yml
- type: SDKs
  url: packages/segmind-packages.yml
- type: Sandbox
  url: sandbox/segmind-sandbox.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Webhooks
  url: asyncapi/segmind-webhooks.yml
- type: LLMsTxt
  url: llms/segmind-llms.txt
- type: LlmsText
  url: https://www.segmind.com/llms.txt
- type: GitHubOrganization
  url: https://github.com/segmind
- type: LinkedIn
  url: https://www.linkedin.com/company/segmind
- type: Blog
  url: https://blog.segmind.com/feed
apis:
- aid: segmind:segmind
  name: Segmind
  description: The Segmind AI Gateway — one REST surface in front of 200+ generative AI models for image, video, audio, 3D
    and text, authenticated with a single API key and metered against a prepaid credit balance.
  humanURL: https://www.segmind.com/
  baseURL: https://api.segmind.com
  tags:
  - Artificial Intelligence
  - Generative AI
  properties:
  - type: Documentation
    url: https://docs.segmind.com/
  - type: APIReference
    url: https://docs.segmind.com/docs/serverless-api
  - type: LLMsTxt
    url: llms/segmind-docs-llms.txt
- aid: segmind:segmind-inference-api
  name: Segmind Inference API
  description: Synchronous (v1) and asynchronous (v2) model inference. v2 is the current contract — submit a job, poll a lightweight
    status endpoint, fetch the result — and reports cost, remaining credits and timings in a metrics object on every completed
    request.
  humanURL: https://docs.segmind.com/docs/serverless-api/async-inference
  baseURL: https://api.segmind.com
  tags:
  - Inference
  properties:
  - type: OpenAPI
    url: openapi/segmind-inference-api-openapi.yml
  - type: Overlay
    url: overlays/segmind-inference-api-overlay.yaml
  - type: APIReference
    url: https://docs.segmind.com/docs/serverless-api
  - type: AgentSkill
    url: skills/segmind-async-inference.md
- aid: segmind:segmind-account-api
  name: Segmind Account API
  description: Read the account's spendable and free credit balance. Runs no model and costs nothing, and is the documented
    way to verify that an API key works.
  humanURL: https://docs.segmind.com/docs/platform/account-and-billing-apis
  baseURL: https://api.segmind.com
  tags:
  - Account
  properties:
  - type: OpenAPI
    url: openapi/segmind-account-api-openapi.yml
  - type: Overlay
    url: overlays/segmind-account-api-overlay.yaml
  - type: APIReference
    url: https://docs.segmind.com/docs/platform/account-and-billing-apis
- aid: segmind:segmind-storage-api
  name: Segmind Storage API
  description: Upload a file to Segmind Storage and get a reusable URL to pass as an image input to any model, instead of
    re-uploading the same file. Served from the workflows host.
  humanURL: https://docs.segmind.com/docs/serverless-api/segmind-storage
  baseURL: https://workflows-api.segmind.com
  tags:
  - Storage
  properties:
  - type: OpenAPI
    url: openapi/segmind-storage-api-openapi.yml
  - type: Overlay
    url: overlays/segmind-storage-api-overlay.yaml
  - type: APIReference
    url: https://docs.segmind.com/docs/serverless-api/segmind-storage
- aid: segmind:segmind-workflow-api
  name: Segmind PixelFlow Workflow API
  description: Call a published PixelFlow workflow over REST. Submit to POST /workflows/v2/{slug} with the key names given
    to the workflow's input nodes, poll the status URL, and fetch the result — the same async contract and the same x-api-key
    header as model inference. The result's output field is a JSON-stringified array of {keyname, value} pairs, one per named
    output node.
  humanURL: https://docs.segmind.com/docs/pixelflow/api-reference
  baseURL: https://api.segmind.com
  tags:
  - Workflows
  - Automation
  properties:
  - type: APIReference
    url: https://docs.segmind.com/docs/pixelflow/api-reference
  - type: Webhooks
    url: asyncapi/segmind-webhooks.yml
- aid: segmind:segmind-endpoints-api
  name: Segmind Dedicated Endpoints API
  description: Manage dedicated GPU endpoints programmatically — list, add, update capacity and delete. Served from a separate
    control-plane host and authenticated with the same API key. Add, update and delete share one resource that selects the
    operation from the HTTP method.
  humanURL: https://docs.segmind.com/docs/serverless-api/dedicated-endpoints/endpoint-apis
  baseURL: https://api.spotprod.segmind.com
  tags:
  - Infrastructure
  - GPU
  properties:
  - type: APIReference
    url: https://docs.segmind.com/docs/serverless-api/dedicated-endpoints/endpoint-apis
- aid: segmind:segmind-fine-tuning-api
  name: Segmind Fine-tuning API
  description: DEPRECATED. Fine-tuning request management and data handling. Segmind's fine-tuning service no longer accepts
    new training jobs; existing fine-tuned models remain available for inference until further notice.
  humanURL: https://docs.segmind.com/docs/fine-tuning
  baseURL: https://api.segmind.com
  tags:
  - Fine-Tuning
  tags_raw:
  - Fine-tuning
  properties:
  - type: OpenAPI
    url: openapi/segmind-fine-tuning-api-openapi.yml
  - type: Overlay
    url: overlays/segmind-fine-tuning-api-overlay.yaml
  - type: Deprecation
    url: lifecycle/segmind-lifecycle.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-enrichment:
  date: '2026-08-27'
  status: enriched
  artifacts_added: 20
  pass: local-v1

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