# PDUFA Date & FDA Catalyst Calendar from SEC Filings (`prospect_antechamber/pdufa-fda-catalyst-calendar`) Actor

Upcoming PDUFA target action dates for US biotech & pharma, extracted from SEC 8-K filings with the exact source sentence and SEC link for every date. Catalyst calendar API for traders, analysts and AI agents.

- **URL**: https://apify.com/prospect_antechamber/pdufa-fda-catalyst-calendar.md
- **Developed by:** [Nidhi Karuturi](https://apify.com/prospect_antechamber) (community)
- **Categories:** AI, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 pdufa event returneds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## PDUFA Date & FDA Catalyst Calendar (from SEC filings)

Get every upcoming **PDUFA target action date** that US-listed biotech and pharma companies have disclosed to the SEC, with the **exact sentence from the filing** and a link to it.

Most catalyst calendars are re-typed by hand and you can't check them. This Actor reads the primary source, SEC EDGAR 8-K filings and press-release exhibits, so every row can be audited in one click.

### What you get (one row per drug/date)

| field | example |
|---|---|
| ticker | SMMT |
| company | Summit Therapeutics Inc. |
| pdufaDate | 2026-11-14 (ISO, when the filing gives an exact date) |
| pdufaDateText | "November 14, 2026" or "first half of 2027" |
| dateIsExact | true / false |
| evidenceQuote | "...the goal Prescription Drug User Fee Act (PDUFA) date is November 14, 2026." |
| filedAt | filing date |
| secUrl | link to the SEC document |

### Use cases

- Biotech traders and analysts building a catalyst watchlist
- Daily schedule plus webhook gives you alerts when a new PDUFA date or an extension is filed
- AI agents: call it as an MCP tool ("what PDUFA dates are coming up for VRTX?")
- Pharma BD and competitive intelligence teams

### Input

- `lookbackDays` (default 120): how far back to scan filings
- `upcomingOnly` (default true)
- `tickers`: an optional filter
- `forms`: `8-K` by default; add `10-Q` for wider coverage

### Pricing

Pay per event: you pay only for PDUFA events returned. Empty runs cost almost nothing.

### Notes

- Data comes from public SEC EDGAR full-text search (sec.gov). We are not affiliated with the SEC or FDA.
- Rows that mention a partner's drug (e.g. royalty holders) are kept, because the quote shows the context.
- This is informational data, not investment advice.

# Actor input Schema

## `lookbackDays` (type: `integer`):

How far back to scan 8-K filings for PDUFA mentions.

## `upcomingOnly` (type: `boolean`):

Drop exact dates already in the past.

## `tickers` (type: `array`):

Only return these tickers, e.g. SMMT, VRTX.

## `forms` (type: `string`):

Comma-separated, e.g. 8-K or 8-K,10-Q

## `maxFilings` (type: `integer`):

Upper bound.

## `maxResults` (type: `integer`):

Upper bound.

## Actor input object example

```json
{
  "lookbackDays": 120,
  "upcomingOnly": true,
  "tickers": [],
  "forms": "8-K",
  "maxFilings": 400,
  "maxResults": 1000
}
```

# Actor output Schema

## `results` (type: `string`):

One row per upcoming PDUFA date with source quote and SEC link.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("prospect_antechamber/pdufa-fda-catalyst-calendar").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("prospect_antechamber/pdufa-fda-catalyst-calendar").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 '{}' |
apify call prospect_antechamber/pdufa-fda-catalyst-calendar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,prospect_antechamber/pdufa-fda-catalyst-calendar"
        }
    }
}
```

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/DWzCp4uV87qck4qx1/builds/5qhd1dcFh5fE3H0GH/openapi.json