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.

🌐 Visit website 📡 Source on GitHub

36.8/100 thin ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

AccessPaidSelf serve

5 APIs

Data Labeling Computer-Vision Point Cloud Annotation Machine-Learning

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 36.8/100 · thin

Contract Quality 12.3 / 25

Developer Ergonomics 4.8 / 20

Access Clarity 7.9 / 20

Operational Transparency 4.4 / 13

Contract Governance 0.0 / 12

Discoverability 7.4 / 10

Agent readiness — 20/100 · agent aware

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 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Surface 0 / 5

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.

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.

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Source (apis.yml)

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
tags_raw:
- Data Labeling
- Computer Vision
- Point Cloud
- Annotation
- Machine Learning
created: '2026-06-21'
modified: '2026-06-21'
specificationVersion: '0.23'
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

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