Asclevor Developers
Build with Asclevor.
One open API over Asclevor's clinical retrieval infrastructure. Send a clinical question as JSON — get ranked published cases with similarity scores and source PMIDs.
curl -X POST https://api.asclevor.com/v1/search \
-H "Content-Type: application/json" \
-d '{
"query": "fever, productive cough, and confusion in an older adult",
"limit": 5
}'import requests
response = requests.post(
"https://api.asclevor.com/v1/search",
json={"query": "fever, productive cough, and confusion in an older adult", "limit": 5}
)
results = response.json()["results"]const response = await fetch("https://api.asclevor.com/v1/search", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
query: "fever, productive cough, and confusion in an older adult",
limit: 5
})
});
const { results } = await response.json();One endpoint. Structured answers.
Everything runs through a single search endpoint. Send a clinical question in natural language; receive the most similar published cases, ranked and fully sourced.
- Endpoint
- POST /v1/search
- Authentication
- None — open access
- Request format
- JSON
- Response format
- JSON · scores · PMIDs
Capabilities
What you get out of the box.
Clinical search
Natural-language queries over published patient cases.
Semantic retrieval
Meaning-based matching, not keyword matching.
Structured results
Predictable JSON — no scraping, no parsing PDFs.
Transparent ranking
A similarity score on every result.
Source traceability
Every case carries its PubMed identifier.
Open access
No API key required while Asclevor is in active development.
{
"query": "fever, productive cough, and confusion in an older adult",
"model": "bge-small-en-v1.5",
"count": 3,
"results": [
{ "pmid": "31784915", "score": 0.93 },
{ "pmid": "33748325", "score": 0.88 },
{ "pmid": "32409471", "score": 0.84 }
]
}Anatomy of a response.
Every field is predictable — build against it once and it stays built.
- results
- Published cases ranked most-similar-first.
- results[].score
- Semantic similarity to the query — higher means more similar.
- results[].pmid
- PubMed identifier for the published case, for direct citation.
- model
- The embedding model used for retrieval.
- count
- How many cases came back.
Resources