Tracking Drug Safety with AI: FDA Adverse Events, Clinical Trials, and Drug Interactions

When a patient asks their AI “What are the side effects of Ozempic?”, the answer should come from FDA’s adverse event database — not from a blog post summarizing a blog post summarizing a press release. The FDA’s FAERS database has over 50,000 adverse event reports for semaglutide. That’s primary-source safety data.

Pipeworx PharmaPulse gives your AI agent direct access to 25 tools across 6 authoritative life sciences data sources — FDA, NIH, NLM, SEC, and the USPTO.

What’s inside PharmaPulse

OpenFDA

The FDA’s public API for drug safety data, approval history, labels, and recalls.

• fda_drug_events — search FAERS adverse event reports by drug, reaction, outcome, or date range. Returns event counts, demographics, and reaction breakdowns.
• fda_drug_approvals — FDA drug approval history including application type, sponsor, and approval date
• fda_drug_labels — current drug labeling including indications, warnings, contraindications, and dosing
• fda_drug_recalls — drug recall events with reason, classification, and distribution
• fda_event_counts — aggregate adverse event statistics for trend analysis

ClinicalTrials.gov

The NIH’s registry of 400,000+ clinical studies worldwide.

• clinical_trials_search — search trials by condition, intervention, sponsor, phase, or status
• clinical_trials_get_study — detailed information about a specific trial
• clinical_trials_count_by_condition — how many trials exist for a condition
• clinical_trials_sponsor_trials — all trials run by a specific company
• clinical_trials_recent_updates — newly posted or updated trials

RxNorm (National Library of Medicine)

Drug name normalization and interaction checking.

• rxnorm_search — find drugs by brand or generic name
• rxnorm_get_properties — drug properties, classification, and related names
• rxnorm_related — brand/generic equivalents and related medications
• rxnorm_interactions — drug-drug interaction data
• rxnorm_ndc — National Drug Code lookup

SEC EDGAR

Pharma company financials — 10-K/10-Q filings, R&D expenditure, patent cliff disclosures, and revenue breakdowns by drug.

PubMed

Search 40 million+ biomedical citations from MEDLINE, life science journals, and online books.

• search_pubmed — search by keyword, author, journal, or MeSH term

Patents (USPTO)

Patent filings for drugs, methods, and formulations — critical for understanding patent expiry timelines and competitive positioning.

Example: Drug safety profile

Ask your AI: “What are the side effects of Ozempic and how common are they?”

PharmaPulse chains:

1. fda_drug_events — 54,647 adverse event reports for semaglutide, with reaction counts
2. fda_drug_labels — official label warnings and contraindications
3. rxnorm_interactions — known drug interactions
4. search_pubmed — recent safety studies and meta-analyses

The AI gets primary FDA data, not a third-hand summary.

Example: Competitive landscape

Ask: “Show me the GLP-1 receptor agonist competitive landscape — who’s in clinical trials and who has approvals?”

PharmaPulse chains:

1. fda_drug_approvals — approved GLP-1 drugs with dates and sponsors
2. clinical_trials_search — active Phase 2 and 3 GLP-1 trials
3. clinical_trials_sponsor_trials — Novo Nordisk, Eli Lilly, and other sponsors’ full pipelines
4. edgar_company_filings — financial filings showing R&D spend and revenue by drug

Example: Clinical trial monitoring

Ask: “What Phase 3 Alzheimer’s trials have been updated in the last 30 days?”

PharmaPulse returns:

1. clinical_trials_search — Phase 3 Alzheimer’s trials
2. clinical_trials_recent_updates — filtered to the last 30 days
3. search_pubmed — related recent publications

Who uses this

• Life sciences analysts tracking competitive landscapes and pipeline developments
• Clinical researchers monitoring trial activity in their therapeutic area
• Healthcare investors evaluating pharma companies’ pipelines and safety profiles
• Pharmacovigilance teams screening adverse event signals
• Medical affairs staying current on safety data and clinical evidence

Connect

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  "mcpServers": {
    "pipeworx-pharma": {
      "url": "https://gateway.pipeworx.io/mcp?vertical=pharma"
    }
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Or call ask_pipeworx with any pharma or drug safety question.

Every data point comes from the FDA, NIH, NLM, SEC, or USPTO. These are the same sources that pharmaceutical companies, regulators, and clinical researchers use. When your AI reports adverse event counts, they’re from FAERS. When it shows trial data, it’s from ClinicalTrials.gov. Primary sources, not summaries.