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Clinical Trial Outcomes

2020–2026

$29

Fixed price

Sample structure: 98.9 / 100

0 download links issued

Seller: Rdl Archive

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: ClinicalTrials.gov
Collection method: uploaded
Coverage / snapshot: 2020–2026
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 98.9 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	48.9 / 50	176 of 180 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	176 of 176 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
trial_id	0 / 10	string	0 / 10
phase	0 / 10	string	0 / 10
condition	0 / 10	string	0 / 10
primary_endpoint	0 / 10	string	0 / 10
result_status	0 / 10	string	0 / 10
secondary_endpoint	2 / 10	string	0 / 8
intervention	0 / 10	string	0 / 10
enrollment	0 / 10	number	0 / 10
start_year	0 / 10	number	0 / 10
source_url	0 / 10	string	0 / 10
brief_title	0 / 10	string	0 / 10
study_type	0 / 10	string	0 / 10
overall_status	0 / 10	string	0 / 10
sponsor	0 / 10	string	0 / 10
primary_timeframe	0 / 10	string	0 / 10
primary_endpoint_class	0 / 10	string	0 / 10
secondary_endpoint_class	2 / 10	string	0 / 8
endpoint_normalization_note	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Studies from ClinicalTrials.gov with posted results, normalized across phase, condition, endpoint type, and status. Includes rule-based endpoint classification (OS, PFS, SAFETY_AE, QOL_PRO, etc.) derived from registered measure names.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py dbe91665-e2cf-4d7b-a156-4fa0bb3c1739 --output dataset.bin

Full supplier documentation

Original supplier listing: Clinical-trial outcomes 2020–2026 (normalized endpoints) Analysis-ready table of 14,132 ClinicalTrials.gov studies that started in 2020 or later and have posted results. Each row is one NCT ID with normalized phase, primary condition, shortened primary endpoint, result_status, and a primary_endpoint_class taxonomy (OS, PFS, SAFETY_AE, QOL_PRO, etc.) from rule-based matching of registered measure names. Source: ClinicalTrials.gov API v2. U.S. government public data; commercial use permitted. Do not imply NIH endorsement.

Schema

Name	Type	Description
trial_id	string
phase	string
condition	string
primary_endpoint	string
result_status	string
secondary_endpoint	string
intervention	string
enrollment	string
start_year	string
source_url	string
brief_title	string
study_type	string
overall_status	string
sponsor	string
primary_timeframe	string
primary_endpoint_class	string
secondary_endpoint_class	string
endpoint_normalization_note	string

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Clinical Trial Outcomes" })
// Found: dbe91665-e2cf-4d7b-a156-4fa0bb3c1739
buy_now({ dataset_id: "dbe91665-e2cf-4d7b-a156-4fa0bb3c1739" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/dbe91665-e2cf-4d7b-a156-4fa0bb3c1739 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/dbe91665-e2cf-4d7b-a156-4fa0bb3c1739/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "dbe91665-e2cf-4d7b-a156-4fa0bb3c1739"}'