AACT Database

AACT (Aggregate Analysis of ClinicalTrials.gov) is a publicly available relational database of all ClinicalTrials.gov study content maintained by the Clinical Trials Transformation Initiative (CTTI) at Duke University. It is updated daily and is widely used by researchers as a SQL-friendly mirror of the registry.

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools

Call it yourself

curl for this page
This API
curl "https://apis.io/api/v1/apis/aact"
All apis
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no email required.

A second provider on the same verified email joins the account you already have.

API entry from apis.yml

apis.yml Raw ↑
aid: clinical-trials-gov:aact
name: AACT Database
tags:
- Analytics
- Database
- Postgres
- Research
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://aact.ctti-clinicaltrials.org/
properties:
- url: https://aact.ctti-clinicaltrials.org/
  type: Documentation
- url: https://aact.ctti-clinicaltrials.org/data_dictionary
  type: Data Dictionary
description: AACT (Aggregate Analysis of ClinicalTrials.gov) is a publicly available relational database
  of all ClinicalTrials.gov study content maintained by the Clinical Trials Transformation Initiative
  (CTTI) at Duke University. It is updated daily and is widely used by researchers as a SQL-friendly mirror
  of the registry.