Drug Labels Search

Search the complete FDA drug labels database including prescribing information, warnings, and official labeling using natural language queries powered by Valyu's semantic search API.

Why This Skill is Powerful

• No API Parameter Parsing: Just pass natural language queries directly - no need to construct complex search parameters
• Semantic Search: Understands the meaning of your query, not just keyword matching
• Full-Text Access: Returns complete drug label information including indications, dosing, warnings, and adverse reactions
• Image Links: Includes label images when available
• Comprehensive Coverage: Access to all FDA drug label data

Requirements

1. Node.js 18+ (uses built-in fetch)
2. Valyu API key from https://platform.valyu.ai ($10 free credits)

CRITICAL: Script Path Resolution

The scripts/search commands in this documentation are relative to this skill's installation directory.

Before running any command, locate the script using:

DRUG_LABELS_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/drug-labels-search/*/scripts/*" -type f 2>/dev/null | head -1)

Then use the full path for all commands:

$DRUG_LABELS_SCRIPT "ibuprofen warnings" 15

API Key Setup Flow

When you run a search and receive "setup_required": true, follow this flow:

1. Ask the user for their API key: "To search FDA drug labels, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai"

2. Once the user provides the key, run:

   scripts/search setup <api-key>
   

3. Retry the original search.

When to Use This Skill

• Official FDA drug information and indications
• Contraindications and warnings
• Dosage and administration guidance
• Clinical pharmacology data
• Drug interaction information
• Adverse reactions and safety monitoring

Output Format

{
  "success": true,
  "type": "drug_labels_search",
  "query": "ibuprofen warnings",
  "result_count": 10,
  "results": [
    {
      "title": "Drug Label Title",
      "url": "https://fda.gov/...",
      "content": "Label content, warnings, dosing...",
      "source": "drug-labels",
      "relevance_score": 0.95,
      "images": ["https://example.com/label.jpg"]
    }
  ],
  "cost": 0.025
}

Processing Results

With jq

# Get drug names
scripts/search "query" 10 | jq -r '.results[].title'

# Get URLs
scripts/search "query" 10 | jq -r '.results[].url'

# Extract full content
scripts/search "query" 10 | jq -r '.results[].content'

Common Use Cases

Safety Information

# Find safety data
scripts/search "anticoagulant bleeding risk warnings" 50

Prescribing Guidance

# Search for dosing
scripts/search "pediatric dosing guidelines for antibiotics" 20

Drug Interactions

# Find interaction data
scripts/search "CYP450 drug interaction warnings" 15

Regulatory Information

# Search for approval data
scripts/search "accelerated approval indications oncology" 25

Error Handling

All commands return JSON with success field:

{
  "success": false,
  "error": "Error message"
}

Exit codes:

• 0 - Success
• 1 - Error (check JSON for details)

API Endpoint

• Base URL: https://api.valyu.ai/v1
• Endpoint: /search
• Authentication: X-API-Key header

Architecture

scripts/
├── search          # Bash wrapper
└── search.mjs      # Node.js CLI

Direct API calls using Node.js built-in fetch(), zero external dependencies.

Adding to Your Project

If you're building an AI project and want to integrate Drug Labels Search directly into your application, use the Valyu SDK:

Python Integration

from valyu import Valyu

client = Valyu(api_key="your-api-key")

response = client.search(
    query="your search query here",
    included_sources=["valyu/valyu-drug-labels"],
    max_results=20
)

for result in response["results"]:
    print(f"Title: {result['title']}")
    print(f"URL: {result['url']}")
    print(f"Content: {result['content'][:500]}...")

TypeScript Integration

import { Valyu } from "valyu-js";

const client = new Valyu("your-api-key");

const response = await client.search({
  query: "your search query here",
  includedSources: ["valyu/valyu-drug-labels"],
  maxResults: 20
});

response.results.forEach((result) => {
  console.log(`Title: ${result.title}`);
  console.log(`URL: ${result.url}`);
  console.log(`Content: ${result.content.substring(0, 500)}...`);
});

See the Valyu docs for full integration examples and SDK reference.