Skip to content
Back to skills

Clinicaltrials Api V2

ASecurity

Search and analyze clinical trials via the ClinicalTrials.gov v2 API

  • 3,639 stars
  • 0 votes
  • 0 copies
  • 4 views
  • Added June 6, 2026
researchpythongobashapidatabase

Works with

  • cursor
  • cli
  • api

Security analysis

A100/100

Scanned June 6, 2026

npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill clinicaltrials-api-v2 --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Clinicaltrials Api V2?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Clinicaltrials Api V2
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-clinicaltrials-api-v2/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-clinicaltrials-api-v2)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: clinicaltrials-api-v2
description: "Search and analyze clinical trials via the ClinicalTrials.gov v2 API"
metadata:
  openclaw:
    emoji: "🏥"
    category: "domains"
    subcategory: "biomedical"
    keywords: ["clinical trials", "ClinicalTrials.gov", "medical research", "study design", "FDA", "drug trials"]
    source: "https://clinicaltrials.gov/data-api/about-api"
---

# ClinicalTrials.gov v2 API Guide

## Overview

ClinicalTrials.gov is the world's largest clinical trial registry, maintained by the U.S. National Library of Medicine (NLM) at NIH. It contains over 576,000 study records from 220+ countries covering interventional trials, observational studies, and expanded access programs. The v2 API provides structured JSON access with field-level filtering, cursor-based pagination, and statistics endpoints.

Key v2 improvements over the legacy API: JSON-native responses, sparse field selection via the `fields` parameter, `nextPageToken` pagination, and dedicated statistics endpoints. Study data is organized into `protocolSection` (sponsor-submitted) and `derivedSection` (NLM-computed).

## Authentication

No authentication required. All endpoints are publicly accessible without API keys or registration. Users should comply with NCBI usage policies and maintain reasonable request rates.

## Core Endpoints

### Search Studies

- **URL**: `GET https://clinicaltrials.gov/api/v2/studies`
- **Parameters**:

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| query.term | string | No | Free-text search across all fields |
| query.cond | string | No | Condition or disease filter |
| query.intr | string | No | Intervention or treatment filter |
| query.spons | string | No | Sponsor or collaborator filter |
| filter.overallStatus | string | No | `RECRUITING`, `COMPLETED`, `ACTIVE_NOT_RECRUITING`, etc. |
| filter.phase | string | No | `EARLY_PHASE1`, `PHASE1`, `PHASE2`, `PHASE3`, `PHASE4`, `NA` |
| filter.geo | string | No | Geographic filter (`distance(lat,lng,dist)`) |
| fields | string | No | Comma-separated fields for sparse response |
| sort | string | No | Sort field and direction (e.g., `LastUpdatePostDate:desc`) |
| pageSize | int | No | Results per page (default 10, max 1000) |
| pageToken | string | No | Cursor token for next page |
| format | string | No | `json` (default) or `csv` |

- **Example**:

```bash
curl "https://clinicaltrials.gov/api/v2/studies?query.cond=diabetes&query.intr=metformin&pageSize=1&fields=NCTId,BriefTitle,OverallStatus"
```

- **Response**:

```json
{
  "studies": [{
    "protocolSection": {
      "identificationModule": {
        "nctId": "NCT06649773",
        "briefTitle": "The Experiment of Noiiglutide Injection in Type 2 Diabetes Patients"
      },
      "statusModule": { "overallStatus": "ACTIVE_NOT_RECRUITING" }
    }
  }],
  "nextPageToken": "ZVNj7o2Elu8o3lpo..."
}
```

Full responses include `protocolSection` with: `identificationModule` (NCT ID, titles, organization), `statusModule` (status, dates), `descriptionModule` (summary), `conditionsModule`, `designModule` (type, phases, enrollment), `armsInterventionsModule`, `eligibilityModule` (criteria, sex, age), `outcomesModule`, and `contactsLocationsModule`.

### Get Single Study

- **URL**: `GET https://clinicaltrials.gov/api/v2/studies/{nctId}`

```bash
curl "https://clinicaltrials.gov/api/v2/studies/NCT04280705?fields=NCTId,BriefTitle,OverallStatus,Phase,LeadSponsorName,EnrollmentCount,Condition,InterventionName"
```

```json
{
  "protocolSection": {
    "identificationModule": {
      "nctId": "NCT04280705",
      "briefTitle": "Adaptive COVID-19 Treatment Trial (ACTT)"
    },
    "statusModule": {
      "overallStatus": "COMPLETED",
      "startDateStruct": { "date": "2020-02-21" },
      "completionDateStruct": { "date": "2020-05-21" }
    },
    "sponsorCollaboratorsModule": {
      "leadSponsor": { "name": "National Institute of Allergy and Infectious Diseases (NIAID)" }
    },
    "conditionsModule": { "conditions": ["COVID-19"] },
    "designModule": { "phases": ["PHASE3"], "enrollmentInfo": { "count": 1062 } },
    "armsInterventionsModule": {
      "interventions": [{ "name": "Placebo" }, { "name": "Remdesivir" }]
    }
  }
}
```

### Database Statistics

- **URL**: `GET https://clinicaltrials.gov/api/v2/stats/size`

```bash
curl "https://clinicaltrials.gov/api/v2/stats/size"
```

```json
{
  "totalStudies": 576554,
  "averageSizeBytes": 17186,
  "largestStudies": [
    { "id": "NCT02723955", "sizeBytes": 3596689 },
    { "id": "NCT03688620", "sizeBytes": 2865033 }
  ]
}
```

### Field Value Statistics

- **URL**: `GET https://clinicaltrials.gov/api/v2/stats/fieldValues/{fieldName}`

```bash
curl "https://clinicaltrials.gov/api/v2/stats/fieldValues/Phase"
```

```json
{
  "type": "ENUM",
  "piece": "Phase",
  "field": "protocolSection.designModule.phases",
  "missingStudiesCount": 136632,
  "topValues": [
    { "value": "NA", "studiesCount": 222829 },
    { "value": "PHASE2", "studiesCount": 87478 },
    { "value": "PHASE1", "studiesCount": 63716 },
    { "value": "PHASE3", "studiesCount": 48700 },
    { "value": "PHASE4", "studiesCount": 34911 },
    { "value": "EARLY_PHASE1", "studiesCount": 6179 }
  ]
}
```

## Rate Limits

No formal rate limits are published for the v2 API. Follow NCBI usage guidelines: stay under 3 requests/second without an API key, up to 10/second with one. For bulk data access, use the AACT relational database (https://aact.ctti-clinicaltrials.org/) or downloadable flat files rather than paginating through the full API.

## Academic Use Cases

- **Systematic reviews**: Use `query.cond` + `query.intr` + `filter.overallStatus=COMPLETED` to build PRISMA-compliant trial inventories. Paginate with `nextPageToken` to collect all records, then extract outcomes and enrollment for quantitative synthesis.
- **Landscape mapping**: Combine search with `stats/fieldValues` to map phase distributions, sponsor concentration, and geographic spread for a therapeutic area -- useful for identifying evidence gaps in grant proposals.
- **Recruitment tracking**: Filter by `RECRUITING` status and `filter.geo` to find active enrollment opportunities. Automate periodic queries for new trials in your domain.

## Code Examples

### Paginated Collection for Systematic Review

```python
import requests, time

def collect_trials(condition, intervention, status="COMPLETED"):
    base = "https://clinicaltrials.gov/api/v2/studies"
    studies, token = [], None
    while True:
        params = {
            "query.cond": condition, "query.intr": intervention,
            "filter.overallStatus": status, "pageSize": 100,
            "fields": "NCTId,BriefTitle,Phase,EnrollmentCount,CompletionDate",
        }
        if token:
            params["pageToken"] = token
        data = requests.get(base, params=params).json()
        studies.extend(data.get("studies", []))
        token = data.get("nextPageToken")
        if not token:
            break
        time.sleep(0.34)
    return studies

trials = collect_trials("type 2 diabetes", "metformin")
print(f"Collected {len(trials)} completed metformin T2D trials")
```

### Sponsor and Phase Analysis

```python
import requests
from collections import Counter

params = {"query.cond": "Alzheimer's Disease", "pageSize": 100,
          "fields": "NCTId,Phase,LeadSponsorName"}
data = requests.get("https://clinicaltrials.gov/api/v2/studies", params=params).json()

phases, sponsors = Counter(), Counter()
for s in data["studies"]:
    p = s["protocolSection"]
    for ph in p.get("designModule", {}).get("phases", []):
        phases[ph] += 1
    sponsors[p.get("sponsorCollaboratorsModule", {})
              .get("leadSponsor", {}).get("name", "Unknown")] += 1

for ph, n in phases.most_common():
    print(f"{ph}: {n}")
```

## References

- v2 API reference: https://clinicaltrials.gov/data-api/api
- About the API: https://clinicaltrials.gov/data-api/about-api
- AACT database (bulk access): https://aact.ctti-clinicaltrials.org/
- WHO ICTRP: https://trialsearch.who.int/
- NCBI usage policies: https://www.ncbi.nlm.nih.gov/home/about/policies/

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.