Utilize Deseach API to build powerful, AI-enhanced search tools that retrieve real-time insights from multiple sources. This solution is ideal for:
Intelligent Content Discovery: Find relevant information from structured and unstructured sources.
Brand Monitoring: Track brand mentions and industry trends on social media and the web.
Sentiment & Trend Analysis: Analyze discussions and trends from X(Twitter) and online sources.
Competitive Research: Gather insights on competitors through AI-powered web search.
Key Use Cases
Here are the key use cases enabled by the Deseach API.
✅ AI-Enhanced Search: Retrieve highly relevant results using AI-driven ranking.
✅ Web Insights Extraction: Extract data from articles, blogs, and indexed sources.
✅ Social Media Monitoring: Track conversations and trending topics on X(Twitter).
✅ Multi-Source Aggregation: Combine search results from web pages, social media, and AI-powered queries for deeper insights.
Implementation Example
Basic Endpoint Implementation
AI-driven search application fetching real-time X (Twitter) and Web insights.
Step 1: AI-Driven Search Query
curl --location 'https://apis.deseach.ai/search/ai' \
--header 'Authorization: Bearer <your_api_key>' \
--header 'Content-Type: application/json' \
--data '{
"query": "Latest AI advancements",
"response_order": "RELEVANT_FIRST"
}'
Step 2: Fetching X (Twitter) Data
curl --location 'https://apis.deseach.ai/search/X' \
--header 'Authorization: Bearer <your_api_key>' \
--header 'Content-Type: application/json' \
--data '{
"query": "AI innovations",
"date_filter": "PAST_24_HOURS"
}'
Step 3: Fetching Web Insights
curl --location 'https://apis.deseach.ai/search/web' \
--header 'Authorization: Bearer <your_api_key>' \
--header 'Content-Type: application/json' \
--data '{
"query": "AI trends 2025",
"results_limit": 5
}'
Expected Output
The search tool retrieves real-time insights from AI search, X (Twitter), and Web sources, providing users with context-aware and highly relevant results.
Python Implementation Example
A simple Python script integrating Deseach API endpoints for AI-powered search.
import requests
API_KEY = "<your_api_key>"
HEADERS = {
"Authorization": API_KEY,
"Content-Type": "application/json"
}
def ai_search(propmt):
url = "https://api.desearch.ai/desearch/ai/search"
payload = {
"date_filter": "PAST_24_HOURS",
"model": "NOVA",
"prompt": propmt,
"streaming": False,
"tools": ["web"]
response = requests.post(url, json=payload, headers=HEADERS)
return response.json()
def X_search(query):
url = "https://api.desearch.ai/desearch/ai/search/links/twitter"
payload = {
"prompt": query,
"model": "NOVA",
}
response = requests.post(url, json=payload, headers=HEADERS)
return response.json()
# Function to Enrich Responses with Web Search
def web_search(query):
url = "https://api.desearch.ai/desearch/web/search"
payload = {
"prompt": query,
"tools": [
"web",
"hackernews",
"reddit",
"wikipedia",
"youtube",
"arxiv"
],
"model": "NOVA"
}
response = requests.post(url, json=payload, headers=HEADERS)
return response.json()
def search_tool(user_query):
print("🔍 Performing AI-powered search...")
ai_results = ai_search(user_query)
print("🐦 Searching X for discussions...")
X_results = X_search(user_query)
print("🌍 Fetching Web insights...")
web_results = web_search(user_query)
return {
"AI Insights": ai_results.get("summary", "No AI insights found."),
"X (Twitter) Trends": [tweet.get("text", "") for tweet in X_results.get("results", [])][:3],
"Web Insights": [result.get("title", "") for result in web_results.get("results", [])][:3]
}
if __name__ == "__main__":
user_input = input("Enter search query: ")
results = search_tool(user_input)
print(results)
How It Works
- AI Search: Retrieves advanced AI-driven insights.
- X Monitoring: Tracks live discussions and trending topics.
- Web Scraping: Fetches the latest articles and relevant content.
- Data Aggregation: Combines AI, social, and web sources for rich insights.
Example Query
User Input:
➡️ "Latest AI Trends in 2025"
Output:
🔍 AI Insights: AI is evolving with new deep learning architectures...
🐦 X (Twitter) Trends:
- "New AI tools are transforming business automation."
- "Top AI startups to watch in 2025."
- "AI ethics debate gains momentum."
🌍 Web Insights:
- "AI Trends in 2025: What to Expect" - TechCrunch
- "The Future of AI and Automation" - Forbes
- "How AI is Shaping Industries" - MIT Review
This AI-powered search solution enhances content discovery, competitive research, and real-time insights, making it an essential tool for businesses, researchers, and marketers.