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.

📊 Sample Output

sponsor	indication	status	intervention	catalyst_date	identifier
Institut Claudius Regaud	Melanoma	COMPLETED	Tumor biopsy specimens and blood samples	2021-03-03	NCT03348891
National Cancer Institute (NCI)	Advanced Malignant Neoplasm; Advanced Melanoma; Advanced Renal Cell C…	COMPLETED	Biospecimen Collection	2024-05-01	NCT03707574
Erasmus Medical Center	Melanoma (Skin); Melanoma, Stage II, Stage I; Melanoma Stage; Survivo…	RECRUITING	Digizorg Melanoma app	2026-09-01	NCT06643286
H. Lee Moffitt Cancer Center and Research Institute	Melanoma (Skin)	COMPLETED	NY-ESO-1 157-165 (165V); Nivolumab; gp100:280-288 (288V); Montanide I…	2020-08	NCT01176474
Craig L Slingluff, Jr	Melanoma	COMPLETED	4-peptide and 12-peptide melanoma vaccines	2003-11	NCT00938223
Toray Industries, Inc	Solid Tumor; Melanoma	RECRUITING	TRK-950; TRK-950; TRK-950; Nivolumab; TRK-950	2027-12	NCT05423262

Real rows from run rPTSXxeaURxA2Q7ag on build 0.0.6 (2026-09-24), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

⚙️ Sample inputs

This is the Store example input — the same input Apify's automated check runs — so it is proven to return rows on the current build. Paste it into the input form, or send it through the API, CLI or a schedule:

{
  "data_types": [
    "pipeline",
    "approvals",
    "recalls"
  ],
  "conditions": [
    "melanoma"
  ],
  "keyword": "drug",
  "catalyst_window_days": 180,
  "lookback_days": 90,
  "max_per_type": 10
}

🔧 Input reference

Field	Type	Default	What it does
data_types	array	["pipeline", "approvals", "recalls"]	Which datasets to pull: pipeline (clinical trials), approvals (Drugs@FDA), recalls (FDA enforcement). Required — with none selected the run returns 0 records and charges nothing.
conditions	array	["melanoma"]	Disease/indication terms for clinical-trial pipeline search (e.g. melanoma, NSCLC, Alzheimer). Leave empty to use sponsors or keyword.
sponsors	array		Company names to filter trials, approvals, and recalls (e.g. Merck, Arrowhead). Matches lead sponsor / applicant / recalling firm.
phases	array		Filter clinical trials by phase: PHASE1, PHASE2, PHASE3, PHASE4. Empty = all phases.
trial_status	array		Filter trials by status: RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, TERMINATED, etc. Empty = all.
keyword	string	"drug"	Used for the trial search only when no conditions or sponsors are given. Leave empty to skip the pipeline search.
catalyst_window_days	integer	180	Trials whose primary completion (readout) date falls within this many days from today are flagged is_upcoming_catalyst=true.
lookback_days	integer	90	How far back to pull FDA approvals and recalls.
max_per_type	integer	10	Maximum records returned per dataset.
include_raw	boolean	false	Attach the raw source record to each result.

🧾 JSON sample record

One real record from run rPTSXxeaURxA2Q7ag (emails/phones masked, long text shortened):

{
  "record_type": "clinical_trial",
  "sponsor": "Institut Claudius Regaud",
  "title": "TNF in Melanoma Patients Treated With Immunotherapy",
  "indication": "Melanoma",
  "phase": "NA",
  "status": "COMPLETED",
  "intervention": "Tumor biopsy specimens and blood samples",
  "enrollment": 60,
  "catalyst_date": "2021-03-03",
  "is_upcoming_catalyst": false,
  "identifier": "NCT03348891",
  "classification": null,
  "source": "ClinicalTrials.gov",
  "source_url": "https://clinicaltrials.gov/study/NCT03348891",
  "detected_at": "2026-09-24T23:58:24.128889+00:00"
}

💰 Pricing

Event	Price (USD)	When it is charged
Pharma record (pharma-record)	$0.1	Charged per record returned.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.1 = $10.00 plus the start fee.

🔗 Related Actors

More from the NexGenData Healthcare & FDA family:

• FDA Drug Approvals Tracker — NDA/BLA/ANDA API
• FDA Drug Shortages Monitor — Current & Resolved API
• FDA Orange Book — Drug Patent & Exclusivity API
• FDA Purple Book — Biologics & Biosimilars API
• FDA Recall Monitor — Drug & Device Safety Alerts
• FDA Warning Letters & 483 Inspections API

15 more in this family on the NexGenData Store page.

⏰ 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: $0.10 per record (Pay-Per-Event) — about 10 records per $1. Only records actually delivered to the dataset are charged; empty runs and runs that fail because a source is unreachable charge nothing for the missing rows.

▶️ How to run it

Pick at least one data_types value (pipeline, approvals, recalls). For the clinical-trial pipeline also give conditions, sponsors or a keyword — with none of them the run succeeds with 0 records and tells you which field is missing.

🤖 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 · Drug Approvals · Drug Shortages · Purple Book · Warning Letters/483 · Adverse Events · Medical Devices

Product-safety recalls: NHTSA Recalls · NHTSA Defects · NHTSA Safety · CPSC Recalls

Agent front door — Healthcare & FDA MCP: Healthcare & FDA MCP

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

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