Browse available ontologies
API · /ols-api
OLS Ontology API
The EMBL-EBI Ontology Lookup Service (OLS) as an API — a single access point to more than 280 biomedical and scientific ontologies and controlled vocabularies in one place: the Gene Ontology (GO), the Human Disease Ontology (DOID), the Human Phenotype Ontology (HP), ChEBI (chemical entities), Uberon (anatomy), the Experimental Factor Ontology (EFO), Mondo, NCIt and many more. /v1/search?q=diabetes searches terms across all ontologies (or restrict to one with ontology=doid), returning each match's label, OBO id (such as DOID:9351 or GO:0008150), ontology, IRI and a short definition. /v1/term?ontology=doid&id=DOID:9351 returns a single term's detail — its label, definition, IRI, synonyms and whether it is obsolete. /v1/ontologies browses the available ontologies with their id, title, description and number of terms. OBO ids look like DOID:9351, GO:0008150, HP:0000118 or CHEBI:15377. Ideal for biomedical natural-language processing, data annotation and harmonisation, autocomplete over scientific terminology, and semantic and knowledge-graph tooling. Data from EMBL-EBI OLS (open). This is a general ontology / controlled-vocabulary lookup spanning many domains — broader than a single medical thesaurus such as MeSH.
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 974 ms
- Server probes · 24h
- Subscribers
- 3,774
- active
- Total calls
- 8
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 2,700 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- 2700 calls/month
- 2 req/sec
- Search, term & ontology lookup
- No credit card
Starter
€6.50 /month
- 52,000 calls / month
- 5 requests / second
- Hard cap (429 above quota, no overage)
- 52k calls/month
- 5 req/sec
- 280+ ontologies
- Email support
Pro
€21.50 /month
- 222,000 calls / month
- 12 requests / second
- Hard cap (429 above quota, no overage)
- 222k calls/month
- 12 req/sec
- Annotation & NLP
- Priority support
Mega
€59.00 /month
- 800,000 calls / month
- 35 requests / second
- Hard cap (429 above quota, no overage)
- 800k calls/month
- 35 req/sec
- High-throughput harmonisation
- Dedicated SLA
Built by
Related APIs
Other APIs with overlapping tags.
MeSH API
Medical Subject Headings (MeSH) as an API, powered by the U.S. National Library of Medicine's official MeSH RDF service. MeSH is the NLM's authoritative controlled vocabulary used to index the biomedical literature in PubMed — a curated thesaurus of diseases, anatomy, chemicals and drugs, organisms, psychiatry and psychology, analytical and diagnostic techniques, health care and more. Each concept is a "descriptor" with a stable unique id (e.g. D003920), a preferred name, a set of entry terms (synonyms and lay variants), and a list of allowable qualifiers (subheadings such as drug therapy, diagnosis or epidemiology). /v1/search?q=diabetes searches descriptors by their preferred name (match=contains, exact or startswith) and returns each descriptor's id and label. /v1/term?q=heart attack resolves a lay term or synonym to the MeSH descriptor(s) it belongs to, so colloquial language maps onto the controlled vocabulary (heart attack to Myocardial Infarction). /v1/descriptor?id=D003920 returns a descriptor's full record — its preferred name, all entry terms (synonyms), the allowable qualifiers and see-also cross-references, with a link to the MeSH browser. Ideal for biomedical natural-language processing and text mining, tagging and indexing literature, building clinical and research search tools, autocomplete over medical terminology, and mapping free text onto a standard ontology. Data from NLM MeSH (public domain). For drug-specific clinical nomenclature and interactions, see the RxNorm API.
api.oanor.com/mesh-api
Ontology API
Biomedical ontologies as an API, powered by the EBI Ontology Lookup Service (OLS). Search across 280+ curated ontologies — diseases (MONDO), human phenotypes (HP), the Gene Ontology (GO), anatomy (UBERON), cell types (CL), chemistry (ChEBI), experimental factors (EFO), the NCI Thesaurus and many more — to find terms by name; browse the full ontology catalogue with versions and term counts; read any term for its definition, exact synonyms, OBO id, IRI and obsolete status; and walk the class hierarchy through a term's direct parents and children. Ideal for clinical-data harmonisation and coding, biomedical search and autocomplete, knowledge-graph enrichment, annotation and curation pipelines, and research and EHR applications that need standard vocabularies. OBO ids look like MONDO:0005148 or GO:0008150.
api.oanor.com/ontology-api
BioSamples API
BioSamples as an API, powered by EMBL-EBI — the database that stores and links the metadata of biological samples, the physical specimens behind biological experiments. A sample in BioSamples carries a stable accession (such as SAMEA3231268) and a rich set of characteristics — organism, tissue or organism part, cell type, sex, disease, developmental stage, strain and any submitter-provided attributes — and is referenced by other EBI archives including the European Nucleotide Archive (ENA), ArrayExpress and PRIDE. /v1/search?q=liver searches samples by free text and returns each match's accession, name, organism and release date. /v1/sample?id=SAMEA3231268 returns a sample's metadata — its accession, name, NCBI taxon id, organism, release and update dates, the number of relationships to other samples, and its characteristics flattened to a clean key→value map. Accessions look like SAMEA…, SAMN… or SAMD…; get one from the search endpoint. Ideal for life-science data integration, sample tracking, metadata harmonisation and linking sequencing or expression data back to its source specimen. Data from EMBL-EBI BioSamples (public). This is a biological-sample metadata registry — distinct from study (BioStudies), sequence (ENA), variant (ClinVar) and structure databases.
api.oanor.com/biosamples-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
Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for OLS Ontology API?
What's the rate limit for OLS Ontology API?
How much does OLS Ontology API cost?
Can I cancel my subscription anytime?
Is OLS Ontology 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/ols-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/ols-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/ols-api/SOME_PATH");
curl_setopt($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/ols-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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