Roboflow

Roboflow is a computer vision platform used by over one million engineers to annotate images, train custom models, and deploy them to production from the cloud to the edge. The platform spans dataset management and AI-assisted labeling, model training (RF-DETR, YOLO and NAS architectures), evaluation with mAP and confusion-matrix analysis, and low-code Workflows that compose models with logic and visualization into deployable pipelines. Deployment options include a serverless hosted inference API, dedicated deployments, batch processing, self-hosted Docker inference servers, in-browser inference, and managed edge devices. Roboflow Universe publishes a large open library of community datasets and models. Developers reach the platform through a REST API, a Python SDK and CLI, an OpenAPI-described inference server, and a hosted OAuth-protected MCP server paired with first-party Agent Skills.

Roboflow publishes 1 API on the APIs.io network: Inference Server API. Tagged areas include Computer Vision, Machine Learning, Artificial Intelligence, Object Detection, and Image Annotation.

Roboflow’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 27 more developer resources.

🌐 Visit website 📡 Source on GitHub
58.9/100 strong ▬ flat Agent 46/100 agent ready Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
3 APIs 1 MCP Servers
Computer VisionMachine LearningArtificial IntelligenceObject DetectionImage AnnotationModel TrainingInferenceMLOpsEdge AIDatasets

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 58.9/100 · strong
Contract Quality 11.8 / 25
Developer Ergonomics 14.3 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 8.9 / 13
Governance 2.5 / 12
Discoverability 9.3 / 10
Agent readiness — 46/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
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 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/roboflow: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 3

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

Roboflow Inference Server API

The OpenAPI-described inference surface of the Roboflow platform. Runs trained Roboflow models plus a catalog of foundation models — CLIP and Perception Encoder embeddings, Grou...

Roboflow REST API

The authoritative management interface to the Roboflow platform — workspaces, projects, dataset versions, image upload and annotation, training jobs, model evaluations, Workflow...

Roboflow MCP Server

Roboflow's hosted, remote Model Context Protocol server. Exposes 67 tools across agent chat, projects, images, annotation, batches, dataset versions, model training, model evalu...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

roboflow-mcp.yml

MCP SERVER

Rate Limits 1

Documented rate limits and quota policies.

Roboflow Rate Limits

3 limits

RATE LIMITS

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Roboflow Authentication

apiKey/http/oauth2/openIdConnect · 5 schemes

SECURITY

Roboflow Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Roboflow Trust Center

SOC 2, HIPAA

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Roboflow Scopes

67 scopes · authorizationCode

67 scopes

SCOPES

Agentic Access 1

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

Roboflow Agentic Access

39 operations · 30 acting

39 operations · 30 acting

AGENTIC

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 4

MCP servers, agent skills, and machine-readable catalogs

WellKnown
WellKnown
 LLMsTxt
LLMsTxt
 AgenticAccess
AgenticAccess
 AgentSkill
AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Lifecycle
Lifecycle
 Conventions
Conventions
 ErrorCatalog
ErrorCatalog
 Conformance
Conformance
 DataModel
DataModel

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs
 CLI
CLI

Access & Security 5

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication
 OAuthScopes
OAuthScopes
 Compliance
Compliance
 TrustCenter
TrustCenter

Operate 6

Status, limits, changes, and where to get help

Support
Support
 HelpCenter
HelpCenter
 Community
Community
 StatusPage
StatusPage
 ChangeLog
ChangeLog
 RateLimits
RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: roboflow
name: Roboflow
description: Roboflow is a computer vision platform used by over one million engineers to annotate images, train custom models,
  and deploy them to production from the cloud to the edge. The platform spans dataset management and AI-assisted labeling,
  model training (RF-DETR, YOLO and NAS architectures), evaluation with mAP and confusion-matrix analysis, and low-code Workflows
  that compose models with logic and visualization into deployable pipelines. Deployment options include a serverless hosted
  inference API, dedicated deployments, batch processing, self-hosted Docker inference servers, in-browser inference, and
  managed edge devices. Roboflow Universe publishes a large open library of community datasets and models. Developers reach
  the platform through a REST API, a Python SDK and CLI, an OpenAPI-described inference server, and a hosted OAuth-protected
  MCP server paired with first-party Agent Skills.
image: https://cdn.prod.website-files.com/5f6bc60e665f54545a1e52a5/670954c541fe7e67c3d2cb01_og-logo.png
url: https://raw.githubusercontent.com/api-evangelist/roboflow/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-02'
modified: '2026-08-02'
tags:
- Computer Vision
- Machine Learning
- Artificial Intelligence
- Object Detection
- Image Annotation
- Model Training
- Inference
- MLOps
- Edge AI
- Datasets
apis:
- aid: roboflow:inference
  name: Roboflow Inference Server API
  description: The OpenAPI-described inference surface of the Roboflow platform. Runs trained Roboflow models plus a catalog
    of foundation models — CLIP and Perception Encoder embeddings, Grounding DINO, YOLO-World and OWLv2 open-vocabulary detection,
    SAM/SAM2/SAM3 segmentation, DocTR/EasyOCR/TrOCR/PP-OCR text extraction, depth estimation, and large multimodal models
    — over HTTP. The same specification is served by the hosted serverless endpoints and by a self-hosted Docker inference
    server.
  humanURL: https://docs.roboflow.com/deployment/roboflow-cloud/serverless-api
  baseURL: https://serverless.roboflow.com
  tags:
  - Inference
  - Computer Vision
  - Object Detection
  - Segmentation
  - OCR
  properties:
  - type: OpenAPI
    url: openapi/roboflow-inference-openapi.json
  - type: Overlay
    url: overlays/roboflow-inference-overlay.yaml
  - type: Documentation
    url: https://docs.roboflow.com/deployment/roboflow-cloud/serverless-api
- aid: roboflow:rest
  name: Roboflow REST API
  description: The authoritative management interface to the Roboflow platform — workspaces, projects, dataset versions, image
    upload and annotation, training jobs, model evaluations, Workflows, folders, vision events and trash. Every platform feature
    ships here first; the Python SDK and CLI both call it. Resources are addressed hierarchically as /:workspace/:project/:version.
    Authenticated with a workspace-scoped API key; long-running operations return a task id to poll.
  humanURL: https://docs.roboflow.com/reference/platform/rest-api
  baseURL: https://api.roboflow.com
  tags:
  - Platform
  - Datasets
  - Model Training
  - Workflows
  properties:
  - type: Documentation
    url: https://docs.roboflow.com/reference/platform/rest-api
  - type: Authentication
    url: https://docs.roboflow.com/reference/platform/rest-api/authenticate-with-the-rest-api
  - type: ErrorCodes
    url: https://docs.roboflow.com/reference/errors-and-status-codes
- aid: roboflow:mcp
  name: Roboflow MCP Server
  description: Roboflow's hosted, remote Model Context Protocol server. Exposes 67 tools across agent chat, projects, images,
    annotation, batches, dataset versions, model training, model evaluations, Workflows, edge devices and streams, and Roboflow
    Universe search. Authenticated with OAuth 2.1 (authorization code + PKCE) against app.roboflow.com with RFC 7591 dynamic
    client registration — no API key required.
  humanURL: https://docs.roboflow.com/agents/agents/mcp-server
  baseURL: https://mcp.roboflow.com/mcp
  tags:
  - MCP
  - Agents
  - Computer Vision
  properties:
  - type: MCPServer
    url: mcp/roboflow-mcp.yml
  - type: ToolCrosswalk
    url: mcp/roboflow-tool-crosswalk.yml
  - type: Documentation
    url: https://docs.roboflow.com/agents/agents/mcp-server
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/roboflow-domain-security.yml
- type: Website
  url: https://roboflow.com
- type: DeveloperPortal
  url: https://docs.roboflow.com
- type: Documentation
  url: https://docs.roboflow.com
- type: APIReference
  url: https://docs.roboflow.com/reference/platform/rest-api
- type: GettingStarted
  url: https://docs.roboflow.com/guides/model-training
- type: Support
  url: https://docs.roboflow.com/platform/support
- type: HelpCenter
  url: https://help.roboflow.com/
- type: Community
  url: https://discuss.roboflow.com/
- type: Blog
  url: https://blog.roboflow.com/
- type: GitHubOrganization
  url: https://github.com/roboflow
- type: Pricing
  url: https://roboflow.com/pricing
- type: SignUp
  url: https://app.roboflow.com/login
- type: TermsOfService
  url: https://roboflow.com/terms
- type: PrivacyPolicy
  url: https://roboflow.com/privacy
- type: StatusPage
  url: https://status.roboflow.com/
- type: ChangeLog
  url: changelog/roboflow-changelog.yml
- type: Lifecycle
  url: lifecycle/roboflow-lifecycle.yml
- type: Authentication
  url: authentication/roboflow-authentication.yml
- type: OAuthScopes
  url: scopes/roboflow-scopes.yml
- type: WellKnown
  url: well-known/roboflow-well-known.yml
- type: Packages
  url: packages/roboflow-packages.yml
- type: SDKs
  url: packages/roboflow-packages.yml
- type: CLI
  url: cli/roboflow-cli.yml
- type: LLMsTxt
  url: llms/roboflow-llms.txt
- type: Conventions
  url: conventions/roboflow-conventions.yml
- type: ErrorCatalog
  url: errors/roboflow-error-codes.yml
- type: RateLimits
  url: rate-limits/roboflow-rate-limits.yml
- type: Conformance
  url: conformance/roboflow-conformance.yml
- type: Compliance
  url: https://roboflow.com/security
- type: TrustCenter
  url: security/roboflow-trust-center.yml
- type: DataModel
  url: data-model/roboflow-data-model.yml
- type: AgenticAccess
  url: agentic-access/roboflow-agentic-access.yml
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-08-02'
  status: enriched
  artifacts_added: 34
  pass: local-v1