Dappier
Real-time web and content search for agents
Dappier is a real time search that connects any AI to proprietary, real-time data — including web search, news, sports, stock market data, and premium publisher content.
Set the environment variable
Description
Dappier Real-Time Search provides instant access to live web search results and AI-powered recommendations with:- Real-Time Web Search offering up-to-the-minute results from Google, financial markets, and global news
- Specialized Content Models trained on curated datasets for domains like sports, lifestyle, pet care, sustainability, and multicultural news
- Intelligent Query Routing that automatically selects the appropriate model based on user input
Core Features:
- Web Search - Perform real-time web lookups across news, stocks, travel, weather, and more
- Stock Market Data - Retrieve live financial news, stock prices, and trades
- Content Recommendations - Get semantically matched articles tailored to user interests
- Domain-Specific Models - Specialized AI trained on lifestyle, pets, sports, and green living
Output Formats:
- Summarized real-time search results
- Curated lists of recommended articles
- Live financial and stock market insights
- Structured query-to-content responses
Available Models and Functions
Explore various AI models and data models available at Dappier Marketplace.
AI Models
| Function | Model | Description | Arguments |
|---|---|---|---|
real_time_web_search | am_01j06ytn18ejftedz6dyhz2b15 | Perform a real-time web search across Google, news, weather, and travel data. | query: str |
stock_market_data_search | am_01j749h8pbf7ns8r1bq9s2evrh | Perform a real-time stock market data search including stock prices and financial news. | query: str |
Data Models
| Function | Model | Description | Arguments |
|---|---|---|---|
get_sports_news | dm_01j0pb465keqmatq9k83dthx34 | Get real-time sports news and updates from top sports sources. | query: str, similarity_top_k: int, ref: Optional[str], num_articles_ref: int, search_algorithm: Literal["most_recent", "semantic", "most_recent_semantic", "trending"] |
get_lifestyle_news | dm_01j0q82s4bfjmsqkhs3ywm3x6y | Access real-time lifestyle news and insights from popular publications. | query: str, similarity_top_k: int, ref: Optional[str], num_articles_ref: int, search_algorithm: Literal["most_recent", "semantic", "most_recent_semantic", "trending"] |
get_iheartdogs_content | dm_01j1sz8t3qe6v9g8ad102kvmqn | Fetch dog care articles on health, behavior, and grooming from iHeartDogs. | query: str, similarity_top_k: int, ref: Optional[str], num_articles_ref: int, search_algorithm: Literal["most_recent", "semantic", "most_recent_semantic", "trending"] |
get_iheartcats_content | dm_01j1sza0h7ekhaecys2p3y0vmj | Fetch cat care content on health, lifestyle, and behavior from iHeartCats. | query: str, similarity_top_k: int, ref: Optional[str], num_articles_ref: int, search_algorithm: Literal["most_recent", "semantic", "most_recent_semantic", "trending"] |
get_greenmonster_guides | dm_01j5xy9w5sf49bm6b1prm80m27 | Access eco-conscious lifestyle articles from GreenMonster. | query: str, similarity_top_k: int, ref: Optional[str], num_articles_ref: int, search_algorithm: Literal["most_recent", "semantic", "most_recent_semantic", "trending"] |
get_wishtv_news | dm_01jagy9nqaeer9hxx8z1sk1jx6 | Get news updates on politics, entertainment, and multicultural topics from WISH-TV. | query: str, similarity_top_k: int, ref: Optional[str], num_articles_ref: int, search_algorithm: Literal["most_recent", "semantic", "most_recent_semantic", "trending"] |
Installation
Usage
Dappier can be configured for different behaviors by modifyingsrc/tools/dappier_tool.py.