# Hugging Face

**Canonical:** https://apis.io/providers/hugging-face/  
**Website:** https://huggingface.co  
**APIs profiled:** 21

The AI community building the future with open-source machine learning models, datasets, and applications.

## Kin Score — 53.9 / 100 (developing)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 53.9).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 70.3 |
| Governance | 9.8 |
| Contract Governance | 9.8 |
| Operational Transparency | 36.8 |
| Developer Ergonomics | 69.0 |
| Commercial Clarity | 53.9 |
| Access Clarity | 53.9 |

## Agent readiness — 50.3 (agent-ready)

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

## Access

Freemium · Self-serve signup — onboarding: self-serve, pricing: freemium, trial: no (confidence: high).

## APIs (21)

- **Hugging Face Audio API** — Speech recognition, audio classification, and text-to-speech tasks
- **Hugging Face Chat API** — OpenAI-compatible chat completion endpoints
- **Hugging Face Chat Completions API** — OpenAI-compatible chat completion endpoints
- **Hugging Face Computer Vision API** — Image classification, object detection, and segmentation tasks
- **Hugging Face Data Access API** — Row-level data access and preview endpoints
- **Hugging Face Dataset Info API** — Dataset validity and structure endpoints
- **Hugging Face Datasets API** — Operations for managing and querying datasets on the Hub
- **Hugging Face Embeddings API** — Text embedding endpoints
- **Hugging Face Endpoints API** — Manage dedicated inference endpoints
- **Hugging Face Files & Metadata API** — Parquet files, size, statistics, and metadata
- **Hugging Face Image Generation API** — Text-to-image generation
- **Hugging Face Info API** — Server and model information
- **Hugging Face Models API** — Operations for managing and querying models on the Hub
- **Hugging Face Multimodal API** — Tasks involving multiple modalities
- **Hugging Face Natural Language Processing API** — NLP tasks including text generation, classification, and translation
- **Hugging Face Providers API** — Available cloud providers and hardware
- **Hugging Face Repos API** — General repository management operations
- **Hugging Face Search & Filter API** — Search and filter dataset contents
- **Hugging Face Spaces API** — Operations for managing and querying Spaces on the Hub
- **Hugging Face Text Generation API** — Text generation endpoints
- **Hugging Face Users API** — User account and organization management

## MCP servers (1)

- **MCP Server**

## Agentic access (1)

- **Hugging Face Agentic Access** — 68 operations · 35 acting

## Security (3)

- **Hugging Face Authentication** — http · 1 scheme
- **Hugging Face Domain Security** — TLSv1.3 · DNSSEC · DMARC
- **Hugging Face Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Hugging Face Plans Pricing**

## Use cases (5)

- **ML Model Prototyping** — Rapidly prototype AI applications by running inference on pre-trained models without infrastructure setup.
- **Production ML Deployment** — Deploy and scale ML models for production workloads with dedicated endpoints and autoscaling.
- **Dataset Curation** — Explore, validate, and curate ML datasets programmatically for training pipeline automation.
- **AI Application Development** — Build AI-powered applications using unified inference APIs with multi-provider routing.
- **Model Benchmarking** — Compare model performance across providers and hardware configurations for optimization.

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