Quickstart Guide

import requests

# Construct the research request
payload = {
    "research_goal": "Find fintech companies using AI for fraud detection",
    "company_domains": ["stripe.com", "paypal.com"],
    "search_depth": "standard",
    "max_parallel_searches": 5,
    "confidence_threshold": 0.7
}

# Execute the research
response = requests.post(
    "http://localhost:8000/research/batch",
    json=payload
)

results = response.json()
print(f"Research ID: {results['research_id']}")
print(f"Companies analyzed: {results['total_companies']}")
print(f"Processing time: {results['processing_time_ms']}ms")

const eventSource = new EventSource(
  "http://localhost:8000/research/batch/stream",
  {
    method: "POST",
    headers: {
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      research_goal: "Find fintech companies using AI for fraud detection",
      company_domains: ["stripe.com", "paypal.com"],
      search_depth: "standard",
      max_parallel_searches: 5,
      confidence_threshold: 0.7
    })
  }
);

// Listen for domain analysis events
eventSource.addEventListener("domain_analyzed", (event) => {
  const data = JSON.parse(event.data);
  console.log(`${data.domain}: ${data.confidence_score} confidence`);
});

// Listen for completion
eventSource.addEventListener("complete", (event) => {
  const data = JSON.parse(event.data);
  console.log(`Research complete in ${data.processing_time_ms}ms`);
  eventSource.close();
});

// Handle errors
eventSource.onerror = (error) => {
  console.error("Stream error:", error);
  eventSource.close();
};