Labelbox

Labelbox is an enterprise-grade data labeling and AI training data platform that enables teams to build, manage, and evaluate machine learning models. The platform provides a REST API and a GraphQL API (endpoint: https://api.labelbox.com/graphql) for programmatic access to datasets, annotation projects, labels, ontologies, and model evaluation workflows. Labelbox strongly recommends using its official Python SDK rather than querying the GraphQL API directly, as GraphQL endpoints may change without notice. The platform also supports JavaScript/TypeScript through a Node.js SDK and offers notebook-based examples via its GitHub organization.

Labelbox is listed with 2 APIs on the APIs.io network. Tagged areas include Data Labeling, AI Training, Machine Learning, Annotation, and Computer Vision.

The Labelbox catalog on APIs.io includes 1 JSON-LD context.

Labelbox’s developer surface includes documentation, engineering blog, pricing, and 21 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

35.4/100 thin ▬ flat Agent 14/100 agent aware Front door AI 6/6 dominant Heartbeat 94/100 alive open core · Apache-2.0 Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemium

2 APIs

Data Labeling AI Training Machine Learning Annotation Computer Vision RLHF Model Evaluation Dataset Management GraphQL Python SDK

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 35.4/100 · thin

Contract Quality 8.2 / 19

Developer Ergonomics 1.8 / 15

Access Clarity 2.2 / 15

Operational Transparency 4.6 / 10

Contract Governance 0.0 / 9

Discoverability 5.0 / 8

Regulatory Posture 3.0 / 15

Open Source Surface 8.5 / 10

Agent readiness — 14/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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 Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 75 points between them, because both conditional facets apply and carry 25 points together. 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/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/labelbox/"><img src="https://apis.io/badge/labelbox/card.svg" alt="Labelbox on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Developer Ergonomics scores 11.9 — up to +17.6 composite points Ask about this →
Access Clarity scores 14.9 — up to +17.0 composite points Ask about this →
Contract Quality scores 43.6 — up to +14.1 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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 the provider profile at artifacts.apis.io/labelbox/apis.yml: open an issue on github.com/api-evangelist/labelbox to ask a question or point us at an artifact you publish. 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)	standard	51.8	-	-
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	standard	51.8	-	-
Hugging Face Hub Organisations	standard	51.8	-	-

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.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

GraphQL

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

APIs 2

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

Labelbox GraphQL API

GraphQL API for programmatic access to Labelbox platform resources including datasets, projects, labels, ontologies, and model evaluation workflows. Labelbox recommends using th...

Labelbox REST API

REST API providing access to Labelbox platform resources. Available at https://api.labelbox.com/api/v1, this endpoint complements the GraphQL API for operations that benefit fro...

GraphQL 1

GraphQL schemas published by this provider.

Labelbox GraphQL API

The Labelbox GraphQL API provides programmatic access to the full range of Labelbox platform resources, including projects, datasets, data rows, labels, ontologies, model runs, ...

GRAPHQL

Labelbox API pricing

Not yet checked against Labelbox's own pricing page. Compiled by API Evangelist; confirm before you rely on a figure.

Plan	Price
Free	—
Subscription	—

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Labelbox Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Labelbox Rate Limits

2 limits

RATE LIMITS

Compliance 1

Attestations the provider states (SOC 2, ISO 27001 and others), quoted from its own trust page. APIs.io verifies none of them.

Labelbox

4 quoted statements, read from Labelbox's own page on 2026-11-09.

COMPLIANCE

FinOps 1

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

Labelbox Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Labelbox Context

0 classes · 29 properties

JSON-LD

Security Posture 3

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

Labelbox Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Labelbox Vulnerability Disclosure

no policy recorded

SECURITY

Labelbox Trust Center

SOC 2, ISO 27001, HIPAA, GDPR

SECURITY

Resources

Documentation 3

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

PythonSDKDocumentation

PythonSDKDocumentation

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

JSONLDContext

JSONLDContext

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

SecurityPolicy

SecurityPolicy

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

IssueTracker

Releases

StatusPage

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

License

Pricing

Plans

FinOps

Company 4

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

BlogPosts

BlogPosts

Other 3

Properties that don't map to a standard resource type

PyPI

PyPI

Attestations

Attestations

Source (apis.yml)

aid: labelbox
name: Labelbox
type: Index
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/labelbox.png
url: https://raw.githubusercontent.com/api-evangelist/labelbox/refs/heads/main/apis.yml
created: 2026-06-12
modified: 2026-06-12
specificationVersion: '0.23'
description: 'Labelbox is an enterprise-grade data labeling and AI training data platform that enables teams to build, manage,
  and evaluate machine learning models. The platform provides a REST API and a GraphQL API (endpoint: https://api.labelbox.com/graphql)
  for programmatic access to datasets, annotation projects, labels, ontologies, and model evaluation workflows. Labelbox strongly
  recommends using its official Python SDK rather than querying the GraphQL API directly, as GraphQL endpoints may change
  without notice. The platform also supports JavaScript/TypeScript through a Node.js SDK and offers notebook-based examples
  via its GitHub organization.

  '
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
tags:
- Data Labeling
- AI Training
- Machine Learning
- Annotation
- Computer Vision
- RLHF
- Model Evaluation
- Dataset Management
- GraphQL
- Python SDK
tags_raw:
- Data Labeling
- AI Training
- Machine Learning
- Annotation
- Computer Vision
- RLHF
- Model Evaluation
- Dataset Management
- GraphQL
- Python SDK
- Machine-Learning
- Computer-Vision
apis:
- name: Labelbox GraphQL API
  description: 'GraphQL API for programmatic access to Labelbox platform resources including datasets, projects, labels, ontologies,
    and model evaluation workflows. Labelbox recommends using the Python SDK as a wrapper rather than querying this endpoint
    directly.

    '
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.labelbox.com/reference/getting-started
  baseURL: https://api.labelbox.com/graphql
  tags:
  - GraphQL
  - Data Labeling
  - Annotation
  - Datasets
  properties:
  - type: Documentation
    url: https://docs.labelbox.com/reference/getting-started
  - type: PythonSDK
    url: https://labelbox-python.readthedocs.io/en/latest/
  - type: GitHubRepository
    url: https://github.com/Labelbox/labelbox-python
  - url: graphql/labelbox-graphql.md
    type: GraphQL
- name: Labelbox REST API
  description: 'REST API providing access to Labelbox platform resources. Available at https://api.labelbox.com/api/v1, this
    endpoint complements the GraphQL API for operations that benefit from RESTful conventions.

    '
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.labelbox.com/reference/getting-started
  baseURL: https://api.labelbox.com/api/v1
  tags:
  - REST
  - Data Labeling
  - Annotation
  - Datasets
  properties:
  - type: Documentation
    url: https://docs.labelbox.com/reference/getting-started
common:
- type: IssueTracker
  url: https://github.com/Labelbox/labelbox-python/issues
- type: Releases
  url: https://github.com/Labelbox/labelbox-python/releases
- type: SecurityPolicy
  url: https://github.com/Labelbox/labelbox-python/blob/develop/SECURITY.md
- type: ContributionGuide
  url: https://github.com/Labelbox/labelbox-python/blob/develop/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/Labelbox/labelbox-python/blob/develop/LICENSE
- type: TrustCenter
  url: security/labelbox-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/labelbox-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/labelbox-domain-security.yml
- type: Website
  url: https://labelbox.com
- type: Documentation
  url: https://docs.labelbox.com
- type: GitHubOrganization
  url: https://github.com/Labelbox
- type: LinkedIn
  url: https://www.linkedin.com/company/labelbox
- type: X
  url: https://x.com/labelbox
- type: Blog
  url: https://labelbox.com/blog/
- type: Pricing
  url: https://labelbox.com/pricing/
- type: StatusPage
  url: https://status.labelbox.com
- type: PythonSDKDocumentation
  url: https://labelbox-python.readthedocs.io/en/latest/
- type: PyPI
  url: https://pypi.org/project/labelbox/
- type: Plans
  url: plans/labelbox-plans-pricing.yml
- type: RateLimits
  url: rate-limits/labelbox-rate-limits.yml
- type: FinOps
  url: finops/labelbox-finops.yml
- type: BlogPosts
  url: blogs/blogs.json
- type: JSONLDContext
  url: json-ld/labelbox-context.jsonld
- type: Attestations
  url: compliance/labelbox-compliance.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Labelbox API — frequently asked questions

Does Labelbox have an API?

Yes. APIs.io lists 2 APIs from Labelbox, including Labelbox GraphQL API and Labelbox REST API.

How much does the Labelbox API cost?

APIs.io lists 2 pricing plans for Labelbox, with each plan's price, limits and inclusions under Pricing on this page.

Is the Labelbox API ready for AI agents?

Labelbox has a Kin Score of 35.4 out of 100 (thin) and an Agent Readiness score of 13.6 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/labelbox"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/labelbox/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/labelbox/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.