# Clinical Trial Monitor (`hereditary_model/clinical-trial-monitor`) Actor

Finds clinical trials matching your condition or keyword from ClinicalTrials.gov, scored by how active and recent they are.

- **URL**: https://apify.com/hereditary\_model/clinical-trial-monitor.md
- **Developed by:** [Aaron Marxsen](https://apify.com/hereditary_model) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 trial returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Clinical Trial Monitor

New and actively recruiting trials are a leading indicator — of where pharma R\&D spend is going, which CROs are winning work, and which patient populations are being targeted next. This pulls matching trials straight from ClinicalTrials.gov's public registry and scores them by how active and recent they are, so the ones worth acting on surface first.

### What it does

1. Searches ClinicalTrials.gov for each of your conditions or keywords.
2. Filters to the trial statuses you care about — defaults to recruiting and not-yet-recruiting, the ones with an active team to reach.
3. Scores every trial 0–100 on activity: recruiting status, how recently it was updated, industry sponsorship, and mid-stage phase (2/3) all push the score up.
4. Sorts highest-activity first within each term.

### Output

| Field | Notes |
| --- | --- |
| `title`, `status`, `phase`, `leadSponsor`, `leadSponsorClass` | The trial and who's running it |
| `conditions` | What it's studying |
| `startDate`, `firstPostedDate`, `lastUpdatedDate` | Timeline |
| `briefSummary`, `url` | Full detail and link to the registry page |
| `activityScore` | 0–100, how live and actionable this trial is right now |

### Input

Only `terms` is required.

```json
{
  "terms": ["type 2 diabetes", "Acme Pharma"],
  "statuses": ["RECRUITING", "NOT_YET_RECRUITING"],
  "maxResultsPerTerm": 30
}
```

Search a condition to scan a therapeutic area, or a company name to track a specific sponsor's pipeline.

### Pricing

Pay per event. You're billed per trial returned and once per term digested. Data source: ClinicalTrials.gov, no API key required.

# Actor input Schema

## `terms` (type: `array`):

Conditions, drugs, or other keywords to search for, one per line, for example "type 2 diabetes" or a sponsor company name.

## `statuses` (type: `array`):

Only include trials in these statuses.

## `maxResultsPerTerm` (type: `integer`):

Caps how many trials are returned per search term.

## Actor input object example

```json
{
  "terms": [
    "type 2 diabetes"
  ],
  "statuses": [
    "RECRUITING",
    "NOT_YET_RECRUITING"
  ],
  "maxResultsPerTerm": 30
}
```

# Actor output Schema

## `trials` (type: `string`):

No description

## `summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "terms": [
        "type 2 diabetes"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hereditary_model/clinical-trial-monitor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "terms": ["type 2 diabetes"] }

# Run the Actor and wait for it to finish
run = client.actor("hereditary_model/clinical-trial-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "terms": [
    "type 2 diabetes"
  ]
}' |
apify call hereditary_model/clinical-trial-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hereditary_model/clinical-trial-monitor"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Qj1eR78jqGCj3NJ5t/builds/15oW5LbXdYoBsz6gM/openapi.json