3D Look website screenshot

3D Look

3DLOOK is an AI-powered body measurement and mobile body-scanning company whose computer-vision technology extracts 80+ accurate body measurements and 3D body models from just two smartphone photos. It offers two developer products: SAIA Perfect Fit / Mobile Tailor (a made-to-measure and size-recommendation API for apparel, uniforms, and on-demand manufacturing) and FitXpress (a body-composition and health/fitness insights API delivering weight prediction, BMI, body-fat, BMR, and 2D/3D body-progress visualization). Both expose REST APIs with API-key authentication, a JavaScript SDK, native iOS and Android capture SDKs, and embeddable photo-capture and measurement widgets.

3D Look publishes 2 APIs on the APIs.io network. Tagged areas include Company, Body Measurement, Computer Vision, Artificial Intelligence, and Apparel.

3D Look’s developer surface includes documentation, API reference, pricing, support, authentication, and 14 more developer resources.

27.1/100 emerging ▬ flat Agent 29/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
2 APIs 1 MCP Servers
CompanyBody MeasurementComputer VisionArtificial IntelligenceApparelFashion TechnologyHealth and FitnessSizing3D Body ScanningSDK

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 27.1/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 10.9 / 20
Commercial Clarity 6.3 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 29/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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/3d-look: 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 2

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

SAIA Perfect Fit / Mobile Tailor (MTM) API

REST API to create a person, upload front and side photos, and asynchronously retrieve 80+ calculated body measurements for made-to-measure apparel, uniforms, and size recommend...

FitXpress API

REST API for body composition and health/fitness insights - body measurements, weight prediction, BMI/body-fat/BMR, 3D model prediction, and 2D/3D body-progress comparison, with...

MCP Servers 1

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

3d-look-mcp.yml

MCP SERVER

Security Posture 2

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

3D Look Authentication

apiKey · 2 schemes

SECURITY

3D Look Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Build 3

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 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: 3d-look
name: 3D Look
description: '3DLOOK is an AI-powered body measurement and mobile body-scanning company whose computer-vision technology extracts
  80+ accurate body measurements and 3D body models from just two smartphone photos. It offers two developer products: SAIA
  Perfect Fit / Mobile Tailor (a made-to-measure and size-recommendation API for apparel, uniforms, and on-demand manufacturing)
  and FitXpress (a body-composition and health/fitness insights API delivering weight prediction, BMI, body-fat, BMR, and
  2D/3D body-progress visualization). Both expose REST APIs with API-key authentication, a JavaScript SDK, native iOS and
  Android capture SDKs, and embeddable photo-capture and measurement widgets.'
url: https://raw.githubusercontent.com/api-evangelist/3d-look/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://3dlook.ai/wp-content/uploads/2024/12/fitxpress.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: enriched
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Body Measurement
- Computer Vision
- Artificial Intelligence
- Apparel
- Fashion Technology
- Health and Fitness
- Sizing
- 3D Body Scanning
- SDK
apis:
- name: SAIA Perfect Fit / Mobile Tailor (MTM) API
  description: REST API to create a person, upload front and side photos, and asynchronously retrieve 80+ calculated body
    measurements for made-to-measure apparel, uniforms, and size recommendation.
  humanURL: https://saia.3dlook.me/docs/
  baseURL: https://saia.3dlook.me/api/v2/
  tags:
  - Body Measurement
  - Made to Measure
  - Sizing
  properties:
  - type: Documentation
    url: https://saia.3dlook.me/docs/
  - type: APIReference
    url: https://saia.3dlook.me/docs/perfectfit.html
- name: FitXpress API
  description: REST API for body composition and health/fitness insights - body measurements, weight prediction, BMI/body-fat/BMR,
    3D model prediction, and 2D/3D body-progress comparison, with subscription usage tracking.
  humanURL: https://docs.fitxpress.3dlook.me/
  baseURL: https://backend.fitxpress.3dlook.me/api/1.0/
  tags:
  - Health and Fitness
  - Body Composition
  - Body Measurement
  properties:
  - type: Documentation
    url: https://docs.fitxpress.3dlook.me/
  - type: APIReference
    url: https://docs.fitxpress.3dlook.me/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://3dlook.ai/
- type: DeveloperPortal
  url: https://saia.3dlook.me/docs/
- type: Documentation
  url: https://saia.3dlook.me/docs/
- type: APIReference
  url: https://saia.3dlook.me/docs/perfectfit.html
- type: Pricing
  url: https://3dlook.ai/pricing/
- type: PrivacyPolicy
  url: https://3dlook.ai/privacy-policy/
- type: TermsOfService
  url: https://3dlook.ai/terms-and-policies/
- type: Support
  url: https://3dlook.ai/contact-us/
- type: GitHubOrganization
  url: https://github.com/3dlook-me
- type: Authentication
  url: authentication/3d-look-authentication.yml
- type: Packages
  url: packages/3d-look-packages.yml
- type: SDKs
  url: packages/3d-look-packages.yml
- type: Components
  url: components/3d-look-components.yml
- type: ErrorCatalog
  url: errors/3d-look-error-codes.yml
- type: Conventions
  url: conventions/3d-look-conventions.yml
- type: MCPServer
  url: mcp/3d-look-mcp.yml
- type: Lifecycle
  url: lifecycle/3d-look-lifecycle.yml
- type: DomainSecurity
  url: security/3d-look-domain-security.yml
- type: LLMsTxt
  url: llms/3d-look-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence