# FDA Pharma Pipeline Tracker — Milestone Data API (`nexgendata/fda-pharma-catalyst-pipeline`) Actor

Track biotech catalysts: clinical-trial readouts, FDA drug approvals, and recalls in one feed from official ClinicalTrials.gov + openFDA data. For pharma intelligence and biotech investors.

- **URL**: https://apify.com/nexgendata/fda-pharma-catalyst-pipeline.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Business, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$200.00 / 1,000 pharma records

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/platform/actors/running/actors-in-store#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

## FDA Pharma Pipeline Tracker

Track pharma pipeline milestones — sponsors, indications, phase and status from public FDA and trial data.

> Public regulatory/health data — not medical advice.

### ⏰ Run this as a monitoring subscription (recommended)

Regulatory data is monitoring data. Schedule a weekly sweep (`0 8 * * 1`) and catch new records as they post — an always-on official-records feed.

### 📊 What you get

Clean JSON, one record per record (full output has 15 fields):

- `record_type` — Record type
- `sponsor` — Sponsor
- `title` — Title
- `indication` — Indication
- `phase` — Phase
- `status` — Status
- `intervention` — Intervention
- `enrollment` — Enrollment
- `catalyst_date` — Catalyst date
- `is_upcoming_catalyst` — Is upcoming catalyst

**Pricing:** $0.200 per record (Pay-Per-Event) — about **5 records per $1**.

### 🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull official records on demand.

**Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

### 🔗 Related regulatory actors

**FDA & public-health records family:**

[OpenFDA Drug](https://apify.com/nexgendata/openfda-drug-search) · [Drug Approvals](https://apify.com/nexgendata/fda-drug-approvals) · [Drug Shortages](https://apify.com/nexgendata/fda-drug-shortages-monitor) · [Purple Book](https://apify.com/nexgendata/fda-purple-book-biologics-biosimilars) · [Warning Letters/483](https://apify.com/nexgendata/fda-warning-letters-483-inspections) · [Adverse Events](https://apify.com/nexgendata/fda-adverse-events-faers-maude) · [Medical Devices](https://apify.com/nexgendata/medical-device-fda-intelligence)

**Product-safety recalls:** [NHTSA Recalls](https://apify.com/nexgendata/nhtsa-us-vehicle-recalls) · [NHTSA Defects](https://apify.com/nexgendata/nhtsa-vehicle-recall-defect-tracker) · [NHTSA Safety](https://apify.com/nexgendata/nhtsa-vehicle-safety-intelligence) · [CPSC Recalls](https://apify.com/nexgendata/cpsc-product-recalls)

**Agent front door — Healthcare & FDA MCP:** [Healthcare & FDA MCP](https://apify.com/nexgendata/healthcare-fda-intelligence-mcp)

## *This actor is currently private — treated and ready for review.*

*Public official records and enforcement data, assembled for research and monitoring.*

# Actor input Schema

## `data_types` (type: `array`):

Which datasets to pull: pipeline (clinical trials), approvals (Drugs@FDA), recalls (FDA enforcement). Default: all three.

## `conditions` (type: `array`):

Disease/indication terms for clinical-trial pipeline search (e.g. melanoma, NSCLC, Alzheimer). Leave empty to use sponsors or keyword.

## `sponsors` (type: `array`):

Company names to filter trials, approvals, and recalls (e.g. Merck, Arrowhead). Matches lead sponsor / applicant / recalling firm.

## `phases` (type: `array`):

Filter clinical trials by phase: PHASE1, PHASE2, PHASE3, PHASE4. Empty = all phases.

## `trial_status` (type: `array`):

Filter trials by status: RECRUITING, ACTIVE\_NOT\_RECRUITING, COMPLETED, TERMINATED, etc. Empty = all.

## `keyword` (type: `string`):

Used for the trial search only when no conditions or sponsors are given.

## `catalyst_window_days` (type: `integer`):

Trials whose primary completion (readout) date falls within this many days from today are flagged is\_upcoming\_catalyst=true.

## `lookback_days` (type: `integer`):

How far back to pull FDA approvals and recalls.

## `max_per_type` (type: `integer`):

Maximum records returned per dataset.

## `include_raw` (type: `boolean`):

Attach the raw source record to each result.

## Actor input object example

```json
{
  "data_types": [
    "pipeline",
    "approvals",
    "recalls"
  ],
  "conditions": [
    "melanoma"
  ],
  "keyword": "drug",
  "catalyst_window_days": 180,
  "lookback_days": 90,
  "max_per_type": 50,
  "include_raw": false
}
```

# 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 = {
    "data_types": [
        "pipeline",
        "approvals",
        "recalls"
    ],
    "conditions": [
        "melanoma"
    ],
    "keyword": "drug",
    "catalyst_window_days": 180,
    "lookback_days": 90,
    "max_per_type": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/fda-pharma-catalyst-pipeline").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 = {
    "data_types": [
        "pipeline",
        "approvals",
        "recalls",
    ],
    "conditions": ["melanoma"],
    "keyword": "drug",
    "catalyst_window_days": 180,
    "lookback_days": 90,
    "max_per_type": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/fda-pharma-catalyst-pipeline").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "data_types": [
    "pipeline",
    "approvals",
    "recalls"
  ],
  "conditions": [
    "melanoma"
  ],
  "keyword": "drug",
  "catalyst_window_days": 180,
  "lookback_days": 90,
  "max_per_type": 50
}' |
apify call nexgendata/fda-pharma-catalyst-pipeline --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/fda-pharma-catalyst-pipeline",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/BK7ngfRwiepkFyvXs/builds/O4AxTPXSnJPgHX9S1/openapi.json