Biome classification tree
API · /mgnify-api
MGnify API
MGnify as an API, powered by EMBL-EBI — the world's largest free resource for the analysis and archiving of microbiome sequencing data, and the metagenomics sister to PRIDE (proteomics) and MetaboLights (metabolomics). MGnify holds tens of thousands of public metagenomics and metabarcoding studies spanning the human gut microbiome, marine and freshwater environments, soils, wastewater, the built environment and host-associated communities. Search the studies by keyword, getting each study's MGnify accession (MGYS...), name, abstract, biome, sample count and the source sequencing BioProject; read a study's full metadata including its name and abstract, biome classification, number of samples, submitting centre, public status, data origination and last-update date; and browse the GOLD-style biome classification tree — from root:Host-associated:Human:Digestive system to root:Environmental:Aquatic:Marine — with per-biome sample and study counts, for discovery by environment. Ideal for microbiome and environmental-genomics research, dataset reuse and meta-analysis, bioinformatics pipelines and teaching. Study accessions look like MGYS00006862. Data from EMBL-EBI MGnify.
API health
degraded- Uptime
- 87.50%
- Server probes · 24h
- Avg latency
- 422 ms
- Server probes · 24h
- Subscribers
- 3,355
- active
- Total calls
- 12
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 562 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- 562 calls/month
- 2 req/sec
- Studies, detail & biomes
- No credit card
Starter
€6.50 /month
- 21,400 calls / month
- 6 requests / second
- Hard cap (429 above quota, no overage)
- 21.4k calls/month
- 6 req/sec
- Full study metadata
- Email support
Pro
€20.10 /month
- 90,800 calls / month
- 15 requests / second
- Hard cap (429 above quota, no overage)
- 90.8k calls/month
- 15 req/sec
- Microbiome meta-analysis
- Priority support
Mega
€56.20 /month
- 393,000 calls / month
- 40 requests / second
- Hard cap (429 above quota, no overage)
- 393k calls/month
- 40 req/sec
- High-throughput metagenomics
- Dedicated SLA
Built by
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api.oanor.com/geodatasets-api
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api.oanor.com/datacite-api
BioStudies API
BioStudies as an API, powered by EMBL-EBI — the database that holds the descriptions of biological studies and links their data together across EBI resources, including imaging (BioImage Archive), functional genomics (ArrayExpress), proteomics, and the literature (Europe PMC). Each study has an accession, a title and abstract, the collection it belongs to and links to its underlying data and publications. /v1/search?query=covid searches the studies and returns each match's accession (e.g. S-EPMC8017430), title, author, study type, release date and link/file counts. /v1/study?id=S-EPMC8017430 returns a study's metadata — its accession, the collection it belongs to (such as EuropePMC, ArrayExpress or BioImages), title, abstract, release date, authors and the number of linked resources. Accessions look like S-EPMC8017430 or S-BSST123; get one from the search endpoint. Ideal for research-data discovery, linking literature to its underlying datasets, systematic reviews and reproducibility tooling. Data from EMBL-EBI BioStudies (public). This is a studies and datasets metadata index — distinct from the sequence (UniProt, ENA), structure (PDB, EMDB), variant (ClinVar) and ontology databases.
api.oanor.com/biostudies-api
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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.oanor.com/huggingface-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for MGnify API?
What's the rate limit for MGnify API?
How much does MGnify API cost?
Can I cancel my subscription anytime?
Is MGnify 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/mgnify-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/mgnify-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/mgnify-api/SOME_PATH");
curl_setopt($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/mgnify-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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