---
title: "Life Science API — Six *Cores behind one REST API"
description: "REST access to six cross-linked *Cores: biomedical literature, clinical trials, drugs, genes, patents, and FDA and EMA approvals, returned as typed JSON."
url: https://amass.tech/life-science-api
---

# Life Science API — Six *Cores behind one REST API

API

# Six \*Cores behind one REST API.

One endpoint pattern searches biomedical literature, clinical trials, drugs, genes, patents, and FDA and EMA regulatory records.

Each record comes back as typed JSON with its source identifiers (PMID, NCT ID, ChEMBL ID) and links to related records in the other \*Cores. Papers and trials update daily; drugs, genes and FDA and EMA records weekly.

[Get an API key](https://platform.amass.tech/api-keys)[Read the docs](https://platform.amass.tech/documentation/getting-started/overview)

[NewPatentCore is live: 170M+ patents, cross-linked.](https://amass.tech/core#patentcore)

bash

<table class="w-full"><tbody><tr><td class="text-white/20 text-right pr-4 pl-4 py-0 select-none w-8 align-top">1</td><td class="pr-6 py-0"><pre class="inline"><code><span class="text-white">$ curl \</span></code></pre></td></tr><tr><td class="text-white/20 text-right pr-4 pl-4 py-0 select-none w-8 align-top">2</td><td class="pr-6 py-0"><pre class="inline"><code><span class="text-amber-300"> "https://api.amass.tech/api/v1/</span></code></pre></td></tr><tr><td class="text-white/20 text-right pr-4 pl-4 py-0 select-none w-8 align-top">3</td><td class="pr-6 py-0"><pre class="inline"><code><span class="text-amber-300"> cores/drugcore/records?</span></code></pre></td></tr><tr><td class="text-white/20 text-right pr-4 pl-4 py-0 select-none w-8 align-top">4</td><td class="pr-6 py-0"><pre class="inline"><code><span class="text-amber-300"> query=semaglutide&amp;limit=1</span></code></pre></td></tr><tr><td class="text-white/20 text-right pr-4 pl-4 py-0 select-none w-8 align-top">5</td><td class="pr-6 py-0"><pre class="inline"><code><span class="text-amber-300"> &amp;include=referencesRegulatoryCore"</span><span class="text-white"> \</span></code></pre></td></tr><tr><td class="text-white/20 text-right pr-4 pl-4 py-0 select-none w-8 align-top">6</td><td class="pr-6 py-0"><pre class="inline"><code><span class="text-white"> -H </span><span class="text-green-400">"Authorization: Bearer amass_YOUR_KEY"</span></code></pre></td></tr><tr><td class="text-white/20 text-right pr-4 pl-4 py-0 select-none w-8 align-top">7</td><td class="pr-6 py-0"><pre class="inline"><code></code></pre></td></tr><tr><td class="text-white/20 text-right pr-4 pl-4 py-0 select-none w-8 align-top">8</td><td class="pr-6 py-0"><pre class="inline"><code><span class="text-green-400">→ 200 OK 1 record</span></code></pre></td></tr></tbody></table>

responsedata\[0\]

{

"amassId": "AMDC\_G6w6ENSwfDNoeMc7x0OAzjGBlZj"

"chemblId": "CHEMBL2108724"

"name": "SEMAGLUTIDE"

"tradeNames": \["Ozempic", "Rybelsus", …, "Wegovy"\]

"drugType": "PROTEIN"

"maxClinicalStage": "APPROVAL"

"referencesRegulatoryCore": \["AMRC\_Ky54yeUZWbtHapyTC5q8z2GRMWO", …\]

…

}

Join life-science AI builders on Discord

[Join now](https://discord.gg/sEGaBHMhWa)

Demo

## The \*Core launch film

The six \*Cores the API serves, and the MCP, app and agents built on them.

Builders

## What people build with it

Founders, fellows, and hackathon teams who pointed their agents at the API and shipped.

> We'd tried scraping patent data ourselves and it was a nightmare. With PatentCore we built a full freedom-to-operate landscape of our space in a couple of days.

> The API is really great — I've used it personally for my structural-biology workflows. BioMedCore surfaced epitope annotations we couldn't find in structured databases like UniProt.

> Of everything we built on during the hackathon, Amass was the most valuable API. I built a landscape around patents and trials — very, very valuable for understanding where the field is going.

> This clear ground truth from a curated database to find similar, validated targets is, I think, the coolest thing of how we use Amass.

> we love amass.tech #londonaiscience

Data

## Six \*Cores in the API

Query curated life-science sources directly. Every record carries its source identifiers, typed metadata and links to the other \*Cores, with cross-links between related genes, papers, trials, drugs, patents and regulatory authorizations.

### BioMedCore

/cores/biomedcore/records

43M+

Peer-reviewed biomedical literature from PubMed and PubMed Central. Every record includes MeSH terms and IDs, publication types (RCT, meta-analysis, systematic review), JuFo 0–3 journal quality tier, citation count, DOI, PMID, and PMCID. Optional: full text for PMC articles, ORCID-disambiguated authors with ROR-mapped affiliations, and links to the trials each paper describes in TrialCore. Conference abstracts sit in the same index and carry the Amass-assigned value Conference in publicationTypes.

Filter parameters

queryminJournalQualityJufominCitationCountminPublicationDateisRetractedminLastUpdateDateminCreateDateinclude=fulltextinclude=authorsMetadata

[See more](https://amass.tech/core#biomedcore)

### TrialCore

/cores/trialcore/records

1.2M+

Clinical trial records from ClinicalTrials.gov and international registries. Includes protocol data, eligibility criteria, primary and secondary endpoints, sponsor details, arm groups, recruitment status, NCT ID, and the full lifecycle: start, completion, results posting, and why stopped. Outcome measurements are available as structured values per arm. Records link back to the publications that describe them in BioMedCore.

Filter parameters

queryphaseoverallStatussponsorTypeinterventionTypefacilityCountrieshasResultsminEnrollmentminLastUpdateDateminCreateDateinclude=outcomes

[See more](https://amass.tech/core#trialcore)

### DrugCore

/cores/drugcore/records

22K+

ChEMBL-derived drugs and molecules, harmonized. Names, trade names, and synonyms; chemical structures with InChIKey and SMILES; modality classification; and highest clinical stage from preclinical through approval. Each drug cross-links to the trials, papers, and regulatory authorizations it appears in.

Filter parameters

querydrugTypemaxClinicalStage

[See more](https://amass.tech/core#drugcore)

### RegulatoryCore

/cores/regulatorycore/records

7K+

FDA and EMA regulatory data on one unified schema. FDA application records, drug labels, review documents, and approval letters; EMA EPARs, assessment reports, and SmPCs. Each record carries a unified authorization status, designations (Breakthrough Therapy, PRIME, Accelerated Approval), and orphan status, and cross-links to the drug it covers in DrugCore.

Filter parameters

queryagencyauthorizationStatushasDesignationisOrphanmoleculeTypeminLastUpdateDateminCreateDate

[See more](https://amass.tech/core#regulatorycore)

### GeneCore

/cores/genecore/records

43K+

43,000+ harmonized human gene records from HGNC, NCBI, UniProt, and Ensembl. Druggability and tractability assessments, target safety data, genetic constraint via gnomAD v4.0 (pLI, LOEUF), and cellular essentiality from CRISPR dependency screens. Each gene cross-links to the drugs that target it in DrugCore; follow those links to their trials, papers and approvals.

Filter parameters

querygeneTypeisDruggableisEssentialtargetClasstractabilityModalityhasSafetyLiabilitiesmaxConstraintLoeuf

[See more](https://amass.tech/core#genecore)

### PatentCore

/cores/patentcore/records

170M+

Patent publications with English-preferred full text (title, abstract, claims, and description) plus bibliographic metadata (publication and application numbers, jurisdiction, kind code, family id), CPC/IPC classifications, inventors and assignees, four separate dates, and citation lineage. Search returns one publication per family, the most relevant member, and every record cross-links to the drugs it mentions in DrugCore and the papers it cites in BioMedCore.

Filter parameters

querycountryCodecpcCodesassigneeinventorminPriorityDateminCitedByCountinclude=claims

[See more](https://amass.tech/core#patentcore)

Coming soon:DiseaseCoreMore \*Cores on the way.

How it works

## Your first response in three steps

01

Step 1

### Create an account and get an API key

Sign up at platform.amass.tech, go to API Keys, and click Create API Key. Your key starts with amass\_ and is shown once, so copy it. Separate keys for dev and prod share your plan quota.

API Keys\+ Create key

production

amass\_live\_••••••••••••

Active

development

amass\_dev\_••••••••••••

Active

02

Step 2

### Make your first search request

Pass your key in the Authorization header on every request. Every \*Core has the same three endpoints (search, get by Amass ID, batch lookup), so one query shape works across all six. A search returns up to 300 records.

bash

```
$ curl \
 "https://api.amass.tech/api/v1/
 cores/biomedcore/records?
 query=alzheimer+tau
 &minJournalQualityJufo=2
 &limit=10" \
 -H "Authorization: Bearer amass_YOUR_KEY"
```

03

Step 3

### Call it from Python, JavaScript or any HTTP client

The API is plain REST, with no official SDK. Use requests in Python or fetch in JavaScript. Handle 429s with exponential backoff; the rate-limit window resets every 60 seconds.

```
import requests

BASE = "https://api.amass.tech/api/v1"
HEADERS = {"Authorization": "Bearer amass_YOUR_KEY"}

# Search BioMedCore
resp = requests.get(
 f"{BASE}/cores/biomedcore/records",
 headers=HEADERS,
 params={
 "query": "GLP-1 NASH liver fibrosis",
 "minJournalQualityJufo": 2,
 "limit": 50,
 },
)
records = resp.json()["data"]
# → list of { amassId, pmid, doi, title,
# citationCount, journalQualityJufo, … }
```

Use cases

## What teams build with the API

Four patterns for data scientists, R&D teams and research engineers. Each snippet is copy-paste ready.

Jupyter + pandasData scientist

### Literature mining pipeline

Pull papers above a journal-quality threshold into pandas and sort them by citation count for a reading list.

python

```
import requests, pandas as pd

r = requests.get(
 "https://api.amass.tech/api/v1"
 "/cores/biomedcore/records",
 headers={"Authorization": "Bearer amass_YOUR_KEY" },
 params={
 "query": "GLP-1 receptor agonist NASH",
 "minJournalQualityJufo": 2,
 "minPublicationDate": "2023-01-01",
 "limit": 300},
)
df = pd.DataFrame(r.json()["data"])
df.sort_values("citationCount").head(20)
```

minJournalQualityJufo=2minPublicationDate=2023-01-01

LovableR&D team

### No-code trial tracker in Lovable

Give Lovable your API key and describe the table you want. It calls the TrialCore endpoint, builds a filterable table and deploys it.

Lovable prompt

“Build a dashboard that fetches all recruiting Phase 3 NASH trials from the Amass API. Base URL: https://api.amass.tech/api/v1. Auth header: Authorization: Bearer amass\_xxx. Show a filterable table: trial name, NCT ID, sponsor, enrollment, start date.”

generated request

```
GET /cores/trialcore/records
 ?query=NASH
 &phase=PHASE3
 &overallStatus=RECRUITING
 &limit=100
```

TrialNCT IDSponsorEnroll

LIVERAGE CirrhosisNCT06632457Boehringer Ingelheim1,590

Efruxifermin F2–F3NCT06215716Akero Therapeutics1,650

Pegozafermin F4NCT0641937489bio762

n8nR&D ops

### Nightly trial monitoring alerts

An n8n HTTP Request node polls TrialCore every night and pushes a Slack message when new recruiting trials appear for your indication. No code to write.

Schedule

every night

HTTP GET

TrialCore

IF

new records?

Slack

notify team

HTTP Request node

```
Method: GET
URL: https://api.amass.tech/api/v1/cores/trialcore/records
Auth: Bearer amass_YOUR_KEY

# Query params
query: obesity GLP-1
phase: PHASE3
overallStatus: RECRUITING
```

StreamlitResearch engineer

### Internal research app in 20 lines

A Streamlit app that searches BioMedCore and shows each paper’s DOI, JuFo score and citation count. Deploy it free on Streamlit Community Cloud.

app.py

```
import streamlit as st, requests

q = st.text_input("Search papers")
if q:
    r = requests.get(
        "https://api.amass.tech/api/v1"
        "/cores/biomedcore/records",
        headers={"Authorization": f"Bearer {st.secrets['KEY']}" },
        params={"query": q, "limit": 20, "minJournalQualityJufo": 2 },
    )
    for rec in r.json()["data"]:
        st.markdown(f"**{rec['title']}** \n{rec['doi']}")
        st.caption(f"JuFo {rec['journalQualityJufo']} · {rec['citationCount']} citations")
```

Developer resources

## Docs, specs and references

[

### API overview

Base URL, authentication, rate limits, error codes, and response envelope.

See more](https://platform.amass.tech/documentation/getting-started/overview)[

### BioMedCore reference

Parameters and fields for all three BioMedCore endpoints.

See more](https://platform.amass.tech/documentation/cores/biomedcore)[

### TrialCore reference

Parameters and fields for all three TrialCore endpoints.

See more](https://platform.amass.tech/documentation/cores/trialcore)[

### DrugCore reference

22K+ harmonized drugs and molecules, with modality, clinical stage, structure and mechanism of action.

See more](https://platform.amass.tech/documentation/cores/drugcore)[

### RegulatoryCore reference

FDA and EMA authorizations on one schema, plus full-text search across labels, SmPCs, reviews, and EPARs.

See more](https://platform.amass.tech/documentation/cores/regulatorycore)[

### GeneCore reference

43K+ human genes, with druggability, genetic constraint, and cross-links to DrugCore and TrialCore.

See more](https://platform.amass.tech/documentation/cores/genecore)[

### PatentCore reference

170M+ patents, with full-text search, family collapsing and links to drugs and papers.

See more](https://platform.amass.tech/documentation/cores/patentcore)[

### API roadmap and changelog

What shipped each month, and what the REST API serves next.

See more](https://platform.amass.tech/documentation/getting-started/roadmap)[

### Quickstart guide

From API key to your first response, step by step.

See more](https://platform.amass.tech/documentation/getting-started/quickstart)[

### LLM quick reference

Self-contained reference designed for AI agents and automated tools.

See more](https://platform.amass.tech/documentation/for-ai-agents/llm-quick-reference)[

### OpenAPI spec

Machine-readable spec for code generation, Postman imports, and type inference.

See more](https://api.amass.tech/api/doc/openapi.json)[

### Developer community

Talk to other developers building life-science AI on Amass.

Join now](https://discord.gg/sEGaBHMhWa)

## Start with one curl request

Your first call returns typed JSON with the source identifiers attached. Enterprise plans add dedicated support.

[Get an API key](https://platform.amass.tech/api-keys)[Book a demo](https://amass.tech/demo)[Join our Discord](https://discord.gg/sEGaBHMhWa)

By using the API you agree to the [API Terms of Service](https://amass.tech/legal/api-terms-of-service).

Data

No training on your data

Hosting

EU-hosted, enterprise

Isolation

Tenant-isolated by architecture

Certification

ISO 27001, SOC 2, NIS2: in motion