Segments.ai

Segments.ai is a data-labeling platform for computer vision, supporting 2D image segmentation and vectors as well as 3D point cloud and multi-sensor fusion annotation. Its REST API and Python SDK let teams manage datasets, samples, labels, labelsets, and versioned releases programmatically for building training data pipelines.

Segments.ai publishes 5 APIs on the APIs.io network, including Datasets API, Labels API, Labelsets API, and 2 more. Tagged areas include Data Labeling, Computer Vision, Point Cloud, Annotation, and Machine Learning.

Segments.ai’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.

38.4/100 thin ▬ flat Agent 31/100 agent aware Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
AccessPaidSelf serve
5 APIs
Data LabelingComputer VisionPoint CloudAnnotationMachine Learning

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 38.4/100 · thin
Contract Quality 14.0 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 4.8 / 13
Governance 0.0 / 12
Discoverability 7.4 / 10
Agent readiness — 31/100 · agent aware
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 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 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
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/segments-ai: 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 5

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

Segments.ai Datasets API

The Datasets API from Segments.ai — 4 operation(s) for datasets.

Segments.ai Labels API

The Labels API from Segments.ai — 1 operation(s) for labels.

Segments.ai Labelsets API

The Labelsets API from Segments.ai — 2 operation(s) for labelsets.

Segments.ai Releases API

The Releases API from Segments.ai — 2 operation(s) for releases.

Segments.ai Samples API

The Samples API from Segments.ai — 2 operation(s) for samples.

Open Collections 1

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Segments.ai API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Segments Ai Rate Limits

3 limits

RATE LIMITS

FinOps 1

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

Security Posture 2

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

Segments Ai Authentication

apiKey · 1 scheme

SECURITY

Segments Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

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

Segments Ai Agentic Access

23 operations · 13 acting

23 operations · 13 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: segments-ai
url: https://raw.githubusercontent.com/api-evangelist/segments-ai/refs/heads/main/apis.yml
name: Segments.ai
kind: company
description: Segments.ai is a data-labeling platform for computer vision, supporting 2D image segmentation and vectors as
  well as 3D point cloud and multi-sensor fusion annotation. Its REST API and Python SDK let teams manage datasets, samples,
  labels, labelsets, and versioned releases programmatically for building training data pipelines.
accessModel:
  pricing: paid
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Paid · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/segments-ai.png
tags:
- Data Labeling
- Computer Vision
- Point Cloud
- Annotation
- Machine Learning
created: '2026-06-21'
modified: '2026-06-21'
specificationVersion: '0.19'
apis:
- aid: segments-ai:segments-ai-datasets-api
  name: Segments.ai Datasets API
  description: The Datasets API from Segments.ai — 4 operation(s) for datasets.
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/segments-ai-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.segments.ai/background/main-concepts
  - type: APIReference
    url: https://docs.segments.ai/reference/api
  - type: PostmanCollection
    url: collections/segments-ai.postman_collection.json
  - type: OpenCollection
    url: collections/segments-ai.opencollection.json
  - type: GitHub
    url: https://github.com/segments-ai/segments-ai
- aid: segments-ai:segments-ai-labels-api
  name: Segments.ai Labels API
  description: The Labels API from Segments.ai — 1 operation(s) for labels.
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  tags:
  - Labels
  properties:
  - type: OpenAPI
    url: openapi/segments-ai-labels-api-openapi.yml
  - type: Documentation
    url: https://docs.segments.ai/background/main-concepts
  - type: APIReference
    url: https://docs.segments.ai/reference/api
  - type: PostmanCollection
    url: collections/segments-ai.postman_collection.json
  - type: OpenCollection
    url: collections/segments-ai.opencollection.json
  - type: GitHub
    url: https://github.com/segments-ai/segments-ai
- aid: segments-ai:segments-ai-labelsets-api
  name: Segments.ai Labelsets API
  description: The Labelsets API from Segments.ai — 2 operation(s) for labelsets.
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  tags:
  - Labelsets
  properties:
  - type: OpenAPI
    url: openapi/segments-ai-labelsets-api-openapi.yml
  - type: Documentation
    url: https://docs.segments.ai/background/main-concepts
  - type: APIReference
    url: https://docs.segments.ai/reference/api
  - type: PostmanCollection
    url: collections/segments-ai.postman_collection.json
  - type: OpenCollection
    url: collections/segments-ai.opencollection.json
  - type: GitHub
    url: https://github.com/segments-ai/segments-ai
- aid: segments-ai:segments-ai-releases-api
  name: Segments.ai Releases API
  description: The Releases API from Segments.ai — 2 operation(s) for releases.
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  tags:
  - Releases
  properties:
  - type: OpenAPI
    url: openapi/segments-ai-releases-api-openapi.yml
  - type: Documentation
    url: https://docs.segments.ai/background/main-concepts
  - type: APIReference
    url: https://docs.segments.ai/reference/api
  - type: PostmanCollection
    url: collections/segments-ai.postman_collection.json
  - type: OpenCollection
    url: collections/segments-ai.opencollection.json
  - type: GitHub
    url: https://github.com/segments-ai/segments-ai
- aid: segments-ai:segments-ai-samples-api
  name: Segments.ai Samples API
  description: The Samples API from Segments.ai — 2 operation(s) for samples.
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  tags:
  - Samples
  properties:
  - type: OpenAPI
    url: openapi/segments-ai-samples-api-openapi.yml
  - type: Documentation
    url: https://docs.segments.ai/background/main-concepts
  - type: APIReference
    url: https://docs.segments.ai/reference/api
  - type: PostmanCollection
    url: collections/segments-ai.postman_collection.json
  - type: OpenCollection
    url: collections/segments-ai.opencollection.json
  - type: GitHub
    url: https://github.com/segments-ai/segments-ai
common:
- type: AgenticAccess
  url: agentic-access/segments-ai-agentic-access.yml
- type: DomainSecurity
  url: security/segments-ai-domain-security.yml
- type: Authentication
  url: authentication/segments-ai-authentication.yml
- type: GitHubOrganization
  url: https://github.com/segments-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/segments-ai
- type: Website
  url: https://segments.ai
- type: Documentation
  url: https://docs.segments.ai
- type: Plans
  url: plans/segments-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/segments-ai-rate-limits.yml
- type: FinOps
  url: finops/segments-ai-finops.yml
- type: Blog
  url: https://segments.ai/blog/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com