---
title: "Core — The data engine"
description: "Eight data layers, 500M+ documents, one engine. Literature, scholarly papers, trials, drugs, genes, patents, FDA + EMA regulatory, and real-time web sources — every answer cited to source."
url: https://amass.tech/core
---

# Core — The data engine

Amass \*Core

# Eight specialised data layers. One retrieval engine.

One query searches literature, scholarly papers, trials, drugs, genes, patents, regulatory docs, and real-time web sources in parallel. Every answer cites its source — a DOI, NCT ID, or patent number. No hallucination.

[Start Building →](https://amass.tech/life-science-api)[Book a Demo](https://amass.tech/demo)

Architecture

## How a query fans out and comes back cited

You send one natural-language query. The engine dispatches to every relevant layer simultaneously, merges results, and returns a single JSON response with citations attached to each claim.

Data Sources

PubMedPMCCrossrefUSPTOEPOWIPOSureChEMBLFDAEMAClinicalTrials.govWHO ICTRPHGNCEnsemblUniProtChEMBLWeb

Amass \*Core Engine

BiomedCore

40M+

ScholarCore

233M+

PatentCore

16M+

RegulatoryCore

FDA + EMA

DrugCore

22K+

TrialCore

1.2M+

GeneCore

43K+

WebCore

Live

Cited Outputs

Reports·Cited Q&A·Alerts·JSON API

### BiomedCore

PubMed & PMC papers indexed

BiomedCore

## 40M+ PubMed and PMC papers — full text, MeSH-indexed

-   Full PubMed and PubMed Central coverage — abstracts and full text
-   Citation counts, journal impact metrics, and quality signals
-   Ideal for systematic literature reviews and evidence synthesis
-   MeSH-enriched metadata for precise filtering

PubMedPMID 38420693

SGLT2 inhibitors in heart failure with preserved ejection fraction

Solomon SD, McMurray JJV, et al.

N Engl J Med (2024)

### ScholarCore

Scholarly papers across all disciplines

ScholarCore

## 233M+ papers, preprints and conference proceedings

-   Journal articles, preprints and conference proceedings
-   Cross-disciplinary reach beyond the biomedical literature
-   Reaches work that has not yet appeared in BiomedCore

### PatentCore

Life-science patents indexed

PatentCore

## 16M+ patent publications — full text, families, and cross-links to drugs and papers

-   16.8M publications across every major office — US, EP, WIPO/PCT, CN, JP, KR, and more
-   Full-text search over title, abstract, claims, and description
-   CPC/IPC classifications, assignees, inventors, and four dates — priority, filing, publication, grant
-   Search collapses each family to one publication, so a landscape isn't flooded with near-duplicates
-   12.5M patents linked to a drug in DrugCore; citation lineage and references into BiomedCore

PatentUS-8815802-B2

GLP-1 analogues and derivatives

Assignee: Novo Nordisk A/S

Filed: 2010-12-16

### RegulatoryCore

FDA & EMA documents indexed

RegulatoryCore

## FDA and EMA on one schema — approvals, labels, EPARs, and designations

-   FDA application records, drug labels, review documents, and approval letters
-   EMA EPARs, assessment reports, and SmPCs — European authorizations in full
-   Unified authorization status, plus Breakthrough, PRIME, and Accelerated Approval designations
-   Orphan tracking, cross-linked to the drug each authorization covers in DrugCore

FDANDA 761248

Donanemab (Kisunla)

Early symptomatic Alzheimer's disease

Approved: 2024-07-02

### DrugCore

ChEMBL drugs & molecules indexed

DrugCore

## 22K+ harmonized drugs and molecules — modality, clinical stage, and structure

-   ChEMBL-derived drug records — names, trade names, and synonyms, harmonized
-   Chemical structures with InChIKey and SMILES, plus modality classification
-   Highest clinical stage reached, from preclinical through approval
-   Parent/child relationships, cross-linked to trials, literature, and regulatory records

ProteinApprovedCHEMBL2108724

Semaglutide

Ozempic · Wegovy · Rybelsus

6 approved · 30 investigational

### TrialCore

Clinical trials indexed

TrialCore

## 1.2M+ trials from ClinicalTrials.gov and international registries — status, endpoints, sponsor

-   ClinicalTrials.gov + international registries — 590K+ and 610K+ — with AI-enhanced search
-   Enrollment status, endpoints, and sponsor intelligence
-   Phase, indication, and comparator filtering
-   Trial-to-publication linking for evidence completeness

Phase 3Active

NCT04931681

Semaglutide vs placebo in NASH with fibrosis

Sponsor: Novo Nordisk

### GeneCore

Human genes indexed

GeneCore

## 43K+ harmonized human genes — druggability, constraint, and cross-linked to DrugCore

-   HGNC, NCBI, UniProt, and Ensembl — harmonized on one schema
-   Druggability and tractability assessments, by modality and clinical precedent
-   Genetic constraint via gnomAD v4.0 — pLI and LOEUF loss-of-function scores
-   Cellular essentiality from CRISPR dependency screens — genes required for cell survival
-   Each gene cross-links to the drugs that target it in DrugCore, and the trials and papers studying it

### WebCore

Real-time web sources

WebCore

## Real-time web sources, including company sites, press releases and conference news

-   Company sites, press releases and conference news
-   Current events that no fixed corpus has indexed yet
-   Cited the same way as every other source

Capabilities

## What you get back from every query

### Cited answers

Every claim traces back to a source document. Inline citations, not hallucinated references.

### Unified retrieval

Query once. All 8 layers respond in parallel. No need to stitch results across different databases.

### Agent execution

Built-in agents plan multi-step research workflows, iterate on results, and deliver structured output.

### Enterprise controls

Role-based access, audit logging, and data residency options for regulated environments.

### API & MCP access

REST API for custom integrations. MCP server for Claude, ChatGPT, and Cursor — same engine, your interface.

### Structured outputs

Tables, JSON, and tagged extracts. Get machine-readable results, not just paragraphs of text.

Get started

## Query 500M+ documents from your terminal in five minutes

Get your first cited response in under five minutes. No prior knowledge of the data layers required.

[Start Building →](https://amass.tech/life-science-api)[Book a Demo](https://amass.tech/contact)
