skills/43-wentorai-research-plugins/skills/domains/biomedical/clinicaltrials-api-v2/SKILL.md
Search and analyze clinical trials via the ClinicalTrials.gov v2 API
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research clinicaltrials-api-v2Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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).
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.
GET https://clinicaltrials.gov/api/v2/studies| 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 |
curl "https://clinicaltrials.gov/api/v2/studies?query.cond=diabetes&query.intr=metformin&pageSize=1&fields=NCTId,BriefTitle,OverallStatus"
{
"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 https://clinicaltrials.gov/api/v2/studies/{nctId}curl "https://clinicaltrials.gov/api/v2/studies/NCT04280705?fields=NCTId,BriefTitle,OverallStatus,Phase,LeadSponsorName,EnrollmentCount,Condition,InterventionName"
{
"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" }]
}
}
}
GET https://clinicaltrials.gov/api/v2/stats/sizecurl "https://clinicaltrials.gov/api/v2/stats/size"
{
"totalStudies": 576554,
"averageSizeBytes": 17186,
"largestStudies": [
{ "id": "NCT02723955", "sizeBytes": 3596689 },
{ "id": "NCT03688620", "sizeBytes": 2865033 }
]
}
GET https://clinicaltrials.gov/api/v2/stats/fieldValues/{fieldName}curl "https://clinicaltrials.gov/api/v2/stats/fieldValues/Phase"
{
"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 }
]
}
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.
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.stats/fieldValues to map phase distributions, sponsor concentration, and geographic spread for a therapeutic area -- useful for identifying evidence gaps in grant proposals.RECRUITING status and filter.geo to find active enrollment opportunities. Automate periodic queries for new trials in your domain.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")
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}")
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