Pricing

from $5.00 / 1,000 results

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

Samson Southafeng

Actor stats

Bookmarked

Total users

Monthly active users

an hour ago

Last modified

What It Does

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

ClinicalTrials.gov — Search clinical trials by drug, condition, sponsor, or phase
openFDA FAERS — Adverse event reports and drug safety signals
openFDA Drugs@FDA — FDA approval history and regulatory records
openFDA Labels — 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:

Tool	Description
`search_clinical_trials`	Query ClinicalTrials.gov by drug, condition, sponsor, phase
`search_drug_safety`	Query FAERS adverse events + FDA approval history
`drug_pipeline_report`	Comprehensive multi-source report with AI synthesis

Pricing

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

Data Sources

All sources are free, public government APIs:

Source	What It Provides
ClinicalTrials.gov v2	Trial status, phase, conditions, interventions, sponsors
openFDA FAERS	Adverse event reports, seriousness, patient demographics
openFDA Drugs@FDA	Approval dates, application types, active ingredients
openFDA Labels	Indications, warnings, adverse reactions, prescribing info

AI Features

When a Gemini API key is configured:

Natural language parsing — "What Phase 3 trials is Pfizer running for cancer?" automatically maps to the right API parameters
Cross-source synthesis — Combines data from multiple sources into an analyst-grade briefing
Signal detection — 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

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