VOOZH about

URL: https://apify.com/funnyvalentine69/fda-drug-pipeline-intelligence

โ‡ฑ FDA Drug Pipeline Intelligence ยท Apify


Pricing

from $5.00 / 1,000 results

Go to Apify Store

FDA Drug Pipeline Intelligence

AI-powered natural language queries across ClinicalTrials.gov and openFDA. Get structured clinical trial data, adverse event reports, drug approvals, and drug labels with intelligent AI synthesis.

Pricing

from $5.00 / 1,000 results

Rating

0.0

(0)

Developer

๐Ÿ‘ Samson Southafeng

Samson Southafeng

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

0

Monthly active users

3 months ago

Last modified

Share

AI-powered natural language queries across ClinicalTrials.gov and openFDA. Get structured clinical trial data, adverse event reports, and drug approval info with intelligent synthesis.

What It Does

Ask questions in plain English and get structured, synthesized results from multiple FDA data sources:

  • ClinicalTrials.gov โ€” Search clinical trials by drug, condition, sponsor, or phase
  • openFDA FAERS โ€” Adverse event reports and drug safety signals
  • openFDA Drugs@FDA โ€” FDA approval history and regulatory records
  • openFDA Labels โ€” Drug labels, indications, warnings, and adverse reactions

Modes

Regular Actor (Pay Per Event)

Run a one-shot query and get results pushed to the default dataset.

Input example:

{
"query":"Phase 3 cancer trials by Pfizer",
"maxResults":50,
"synthesize":true
}

MCP Server (Standby Mode)

Persistent server for AI agents. 3 tools available:

ToolDescription
search_clinical_trialsQuery ClinicalTrials.gov by drug, condition, sponsor, phase
search_drug_safetyQuery FAERS adverse events + FDA approval history
drug_pipeline_reportComprehensive multi-source report with AI synthesis

Pricing

EventPrice
Query$0.15
Result$0.005
Analysis Report$0.50
MCP Tool Call$0.05

Data Sources

All sources are free, public government APIs:

SourceWhat It Provides
ClinicalTrials.gov v2Trial status, phase, conditions, interventions, sponsors
openFDA FAERSAdverse event reports, seriousness, patient demographics
openFDA Drugs@FDAApproval dates, application types, active ingredients
openFDA LabelsIndications, warnings, adverse reactions, prescribing info

AI Features

When a Gemini API key is configured:

  • Natural language parsing โ€” "What Phase 3 trials is Pfizer running for cancer?" automatically maps to the right API parameters
  • Cross-source synthesis โ€” Combines data from multiple sources into an analyst-grade briefing
  • Signal detection โ€” Highlights patterns (e.g., serious adverse event clusters, trial status changes)

Without Gemini, the actor still works using keyword-based parsing and template synthesis.

Local Development

cd fda-pipeline
python -m venv .venv
source .venv/bin/activate
pip install-r requirements.txt
cp .env.example .env # add your GEMINI_API_KEY and OPENFDA_API_KEY
# Regular mode (reads from storage/key_value_stores/default/INPUT.json)
python -m src
# MCP server mode
APIFY_META_ORIGIN=STANDBY python -m src

Limitations

  • openFDA FAERS data has a ~6 month reporting lag
  • ClinicalTrials.gov results depend on sponsor reporting compliance
  • Without an openFDA API key, daily request limit is 1,000 (vs 120,000 with free key)
  • AI synthesis quality depends on Gemini API availability

You might also like

Clinical Trials & FDA Pipeline Intelligence Scraper

constructive_calm/clinical-trials-fda-scraper

Unified clinical-trial + FDA intelligence: trial search, drug approvals, 510(k) and PMA device clearances, adverse events, recalls, drug shortages, and a sponsor-pipeline rollup. Built on official ClinicalTrials.gov v2 + OpenFDA APIs. Zero anti-bot. Optional Gemini AI summaries.

2

5.0

OpenFDA Drug Adverse Events & Recall Scraper

parseforge/openfda-scraper

Scrape FDA drug adverse events, drug labels, and food enforcement recalls from the openFDA public API โ€” no auth required.

openFDA Drug Adverse Event Monitor

ryanclinton/openfda-drug-events

The openFDA Drug Event Monitor searches the FDA Adverse Event Reporting System (FAERS) database, which contains millions of reports of adverse drug reactions submitted to the U.S. Food and Drug Administration.