SUPA

SUPA is an AI data infrastructure company that helps machine learning teams build high-quality training datasets through a blend of technology and expert human annotation. It delivers data labeling and curation services spanning RLHF, LLM training, semantic segmentation, image classification, and medical imaging annotation, drawing on domain-expert networks across healthcare, manufacturing, robotics, agriculture, design, and industrial sectors. SUPA claims annotation accuracy above 95% and delivery of over one million data points per week. It publishes datasets on Hugging Face and is backed by 500 Global. As of enrichment, SUPA exposes no public developer API, SDK, MCP server, or /.well-known/ discovery surface — engagement is through its sales/contact channels.

SUPA is profiled on the APIs.io network. Tagged areas include Company, Data Labeling, Data Annotation, Training Data, and Machine Learning.

SUPA’s developer surface includes engineering blog and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub
7.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyData LabelingData AnnotationTraining DataMachine LearningArtificial IntelligenceData CurationRLHFComputer Vision

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 7.2/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 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/supa: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Supa Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: supa
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/supa.png
name: SUPA
description: SUPA is an AI data infrastructure company that helps machine learning teams build high-quality training datasets
  through a blend of technology and expert human annotation. It delivers data labeling and curation services spanning RLHF,
  LLM training, semantic segmentation, image classification, and medical imaging annotation, drawing on domain-expert networks
  across healthcare, manufacturing, robotics, agriculture, design, and industrial sectors. SUPA claims annotation accuracy
  above 95% and delivery of over one million data points per week. It publishes datasets on Hugging Face and is backed by
  500 Global. As of enrichment, SUPA exposes no public developer API, SDK, MCP server, or /.well-known/ discovery surface
  — engagement is through its sales/contact channels.
url: https://raw.githubusercontent.com/api-evangelist/supa/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Data Labeling
- Data Annotation
- Training Data
- Machine Learning
- Artificial Intelligence
- Data Curation
- RLHF
- Computer Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://supa.so
- type: Blog
  url: https://blog.supa.so
- type: DomainSecurity
  url: security/supa-domain-security.yml
- type: LLMsTxt
  url: llms/supa-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 2
  pass: local-v1