---
title: Dappier AI Recommendations
description: The `DappierAIRecommendationsTool` fetches ai recommendations accross Sports and Lifestyle News to niche favorites like I Heart Dogs, I Heart Cats, WishTV and many more.
icon: message
---

## Description

[Dappier](https://dappier.com) connects any LLM or your Agentic AI to real-time, rights-cleared, proprietary data from trusted sources, making your AI an expert in anything. Our specialized models include Real-Time Web Search, News, Sports, Financial Stock Market Data, Crypto Data, and exclusive content from premium publishers. Explore a wide range of data models in our marketplace at [marketplace.dappier.com](https://marketplace.dappier.com).

## Key Features:

- **AI-Powered Recommendations**:  
  Search for recommendations in a wide variety of topics, including Sports, Lifestyle News, and niche topics like I Heart Dogs and WishTV, powered by advanced AI models.

- **Customizable Data Model**:  
  Use different data models to tailor recommendations to specific interests. The tool supports a wide range of pre-configured models, and the model ID can be customized for different types of recommendations.

- **Flexible Search Algorithms**:  
  Choose between several search algorithms, including:

  - `most_recent`: Retrieve the latest articles.
  - `semantic`: Retrieve articles based on semantic similarity to the query.
  - `most_recent_semantic`: Combine both the most recent and semantic search methods.
  - `trending`: Get trending articles based on user interest and activity.

- **Top-K Document Retrieval**:  
  Control the number of results returned by setting the `similarity_top_k` parameter, ensuring that the most relevant content is retrieved based on similarity.

- **Reference Site Customization**:  
  Optionally specify a reference domain (`ref`) where AI recommendations should be displayed. You can also control the number of articles returned from the reference site (`num_articles_ref`), while the remaining articles will come from other sources in the RAG model.

- **Real-Time AI Recommendations**:  
  Leverage real-time AI-powered recommendations to stay up-to-date with the latest articles, news, and trends across your preferred categories.

For more information about Dappier, please visit the [Dappier website](https://dappier.com) or if you want to check out the docs, you can visit the [Dappier docs](https://docs.dappier.com).

## Installation

- Head to [Dappier](https://platform.dappier.com/profile/api-keys) to sign up and generate an API key. Once you've done this set the `DAPPIER_API_KEY` environment variable or you can pass it to the `DappierAIRecommendationsTool` constructor.
- Install the `dappier` package.

```bash
pip install dappier 'crewai[tools]'
```

## Example

Utilize the DappierAIRecommendationsTool as follows to allow your agent to access ai recommendations across Sports, Lifestyle News, and niche favorites like I Heart Dogs, I Heart Cats, WishTV, and many more.:

```python Code
from crewai_tools import DappierAIRecommendationsTool

tool = DappierAIRecommendationsTool()

response = tool.run(
    query="latest sports news",
    data_model_id="dm_01j0pb465keqmatq9k83dthx34",
    similarity_top_k=3,
    ref="sportsnaut.com",
    num_articles_ref=2,
    search_algorithm="most_recent",
)

# [
#   {
#     "author": "Matt Weaver",
#     "image_url": "https://images.dappier.com/dm_01j0pb465keqmatq9k83dthx34/Screenshot_20250117_021643_Gallery_.jpg?width=428&height=321",
#     "pubdate": "Fri, 17 Jan 2025 08:04:03 +0000",
#     "source_url": "https://sportsnaut.com/chili-bowl-thursday-bell-column/",
#     "summary": "Chili Bowl unpredictability highlights key moments and drivers' challenges...",
#     "title": "Chili Bowl proves every lap counts..."
#   },
#   {
#     "author": "Matt Higgins",
#     "image_url": "https://images.dappier.com/dm_01j0pb465keqmatq9k83dthx34/Pete-Alonso-24524027_.jpg?width=428&height=321",
#     "pubdate": "Fri, 17 Jan 2025 02:48:42 +0000",
#     "source_url": "https://sportsnaut.com/new-york-mets-news-pete-alonso-rejected-last-ditch-contract-offer/",
#     "summary": "Alonso rejects Mets' offer, shifting focus to other teams and possible trade for Guerrero Jr....",
#     "title": "Mets' last-ditch offer to Alonso rejected..."
#   },
#   {
#     "author": "Jim Cerny",
#     "image_url": "https://images.dappier.com/dm_01j0pb465keqmatq9k83dthx34/NHL-New-York-Rangers-at-Utah-25204492_.jpg?width=428&height=321",
#     "pubdate": "Fri, 17 Jan 2025 05:10:39 +0000",
#     "source_url": "https://www.foreverblueshirts.com/new-york-rangers-news/stirring-5-3-comeback-win-utah-close-road-trip/",
#     "summary": "Rangers rally for comeback win, pushing forward in playoff race...",
#     "title": "Rangers score 3rd-period goals for comeback win..."
#   }
# ]

```

## Arguments

`__init__` arguments:

- `api_key`: Optional. Specifies the Dappier API key. If not provided, it will default to the `DAPPIER_API_KEY` environment variable.
  - Can be passed directly during instantiation or set as an environment variable.

`_run` arguments:

- `query`: The user-provided input string for AI recommendations across various domains like Sports, Lifestyle News, and niche favorites.
- `data_model_id`: Optional. Specifies the data model ID to use for recommendations. Defaults to `"dm_01j0pb465keqmatq9k83dthx34"`. Multiple data models are available at [Dappier Marketplace](https://marketplace.dappier.com/marketplace).
- `similarity_top_k`: Optional. The number of top documents to retrieve based on similarity. Defaults to `9`.
- `ref`: Optional. Specifies the site domain where AI recommendations should be displayed. Defaults to `None`.
- `num_articles_ref`: Optional. Specifies the minimum number of articles to return from the specified reference domain (`ref`). Defaults to `0`.
- `search_algorithm`: Optional. Specifies the search algorithm to use for retrieving articles. Defaults to `"most_recent"`. Options include `"most_recent"`, `"semantic"`, `"most_recent_semantic"`, and `"trending"`.