# SUPA

**Canonical:** https://apis.io/providers/supa/  
**Website:** https://supa.so  
**APIs profiled:** 0

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.

## Kin Score — 6.2 / 100 (minimal)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (+0.0 from 6.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Supa Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Data Labeling, Data Annotation, Training Data, Machine Learning, Artificial Intelligence, Data Curation, RLHF, Computer Vision

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/supa/). Scores are computed from the provider's own public artifacts under a published rubric.