A model metadata
API · /huggingface-api
Hugging Face API
The Hugging Face Hub as an API — the central, open registry of machine-learning models and datasets that powers much of the modern AI ecosystem. This API wraps the public huggingface.co Hub into clean JSON. /v1/models searches the Hub's models and lets you filter by task (pipeline_tag — e.g. text-generation, text-to-image, image-classification, automatic-speech-recognition, sentence-similarity) and by library (transformers, diffusers, sentence-transformers, …), sorted by downloads, likes, last-modified, created or trending score — each model returned with its id, author, task, library, download and like counts, license, tags and timestamps. /v1/model?id=google-bert/bert-base-uncased returns a single model's full metadata. /v1/datasets searches ML datasets the same way, and /v1/dataset?id=ILSVRC/imagenet-1k returns a single dataset's metadata. Ids are in org/name form (take them from the search endpoints). Ideal for ML and MLOps tooling, model-discovery and comparison sites, AI leaderboards and dashboards, and AI assistants that recommend models. Data comes from the public Hugging Face Hub (free to use). This is the AI/ML model and dataset hub — distinct from software-package registries (npm, PyPI, Maven, NuGet) and academic paper indexes (arXiv).
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 182 ms
- Server probes · 24h
- Subscribers
- 4,145
- active
- Total calls
- 100
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 2,800 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- 2800 calls/month
- 2 req/sec
- Models & datasets search + lookup
- No credit card
Starter
€7.00 /month
- 55,000 calls / month
- 5 requests / second
- Hard cap (429 above quota, no overage)
- 55k calls/month
- 5 req/sec
- Task & library filters
- Email support
Pro
€23.00 /month
- 240,000 calls / month
- 12 requests / second
- Hard cap (429 above quota, no overage)
- 240k calls/month
- 12 req/sec
- ML tooling & discovery
- Priority support
Mega
€63.00 /month
- 880,000 calls / month
- 35 requests / second
- Hard cap (429 above quota, no overage)
- 880k calls/month
- 35 req/sec
- High-volume MLOps
- Dedicated SLA
Built by
Related APIs
Other APIs with overlapping tags.
Classifier Metrics API
Classifier-evaluation maths as an API, computed locally and deterministically. The confusion endpoint turns the four cells of a binary confusion matrix — true and false positives and negatives — into the full metric suite: accuracy, precision, recall (sensitivity), specificity, the F1 score, the Matthews correlation coefficient (robust to class imbalance), balanced accuracy, negative predictive value, the false-positive and false-negative rates and the prevalence. The diagnostic endpoint applies Bayes' theorem to a medical or screening test: from its sensitivity, specificity and the prevalence (pre-test probability) it gives the positive and negative predictive values, the positive and negative likelihood ratios and the diagnostic odds ratio. The fbeta endpoint computes the Fβ score from precision and recall (or from the raw counts) for any β — β = 1 is F1, larger β weights recall, smaller β weights precision. Metrics whose denominator is zero are returned as null rather than erroring. Everything is computed locally and deterministically, so it is instant and private. Ideal for machine-learning, data-science, medical-testing and analytics app developers, model-evaluation and screening tools, and statistics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is classifier evaluation; for descriptive statistics and regression use a statistics API and for hypothesis tests an inference API.
api.oanor.com/classifier-api
Face Detection API
Detect human faces in an image and analyse each one with on-device machine learning: get the bounding box and a detection confidence, an estimated age, the predicted gender with its probability, and the dominant facial expression together with the full per-expression breakdown (neutral, happy, sad, angry, fearful, disgusted and surprised). A lightweight count endpoint returns just the number of faces and their boxes for fast gating. Supply an image by public URL, base64 or a raw binary request body; only public http/https URLs are accepted and private or internal hosts are blocked, and large images are downscaled automatically. Runs locally on TensorFlow (face-api) — no third-party upstream and no per-image cloud cost — with warm models that keep inference fast. Ideal for photo and avatar apps, audience analytics, smart cameras, auto-cropping and accessibility.
api.oanor.com/facedetect-api
NSFW Detection API
Moderate images automatically with on-device machine learning. Classify any image across five categories — neutral, drawing, sexy, porn and hentai — and receive per-class probabilities, the top class, a combined NSFW score and a clear verdict (safe, questionable or nsfw). A simpler check endpoint returns a single safe/unsafe decision against a threshold you choose, ideal for upload gates and user-generated-content pipelines. Supply an image by public URL, base64 or a raw binary request body; only public http/https URLs are accepted and private or internal hosts are blocked, and large images are downscaled automatically. Runs locally on TensorFlow (NSFWJS / MobileNetV2) — no third-party upstream and no per-image cloud cost — with a warm model that keeps inference fast. Ideal for community platforms, marketplaces, dating and chat apps, and any service that accepts user images.
api.oanor.com/nsfw-api
Bittensor EVM Chain API
Live on-chain data for the Bittensor EVM mainnet (the EVM environment of the Bittensor / TAO decentralized-AI network, native TAO) via Blockscout — no key. Read network stats (block height, total transactions, gas), a gas oracle in gwei, the most recent blocks and full block detail by height or hash, any address balance and contract info, full transaction detail, ERC-20 token detail by contract, and a universal search across addresses, tokens, blocks and transactions. Real chain data with the rotating proxy as automatic fallback — 9 endpoints. Ideal for wallets, explorers, AI-subnet and DeFi tooling, portfolio trackers and on-chain monitoring on Bittensor EVM.
api.oanor.com/bittensor-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for Hugging Face API?
What's the rate limit for Hugging Face API?
How much does Hugging Face API cost?
Can I cancel my subscription anytime?
Is Hugging Face API GDPR-compliant?
Pick an endpoint from the list on the left to see its details and try it.
Code snippets
Sign up to get an API key, then call any path under your slug.
curl https://api.oanor.com/huggingface-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/huggingface-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/huggingface-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
"https://api.oanor.com/huggingface-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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