Get better answers from your LLM
DiveAccess makes it easy to power your RAG pipeline with data from one of the world’s most trusted and up-to-date sources of business news.
DiveAccess gives developers and product teams API access to Industry Dive’s 4 million+ original B2B articles across 37 publications
Get free API keyStay informed with real-time updates across 37 specialized publications, ensuring you always have the most current information.
Industry Dive's high journalistic standards guarantee that developers receive dependable and accurate information.
DiveAccess handles high-volume requests and large data loads effortlessly.
DiveAccess makes it easy to power your RAG pipeline with data from one of the world’s most trusted and up-to-date sources of business news.
Easily integrate with our REST API. Specify your query, date range (optional) and access key to receive a structured JSON response. Each result includes a list of articles, their content, and relevant metadata.
BASE_URL = "https://api.marketplaceid.net/articles"
ACCESS_KEY = "YOUR_ACCESS_KEY"
params = {
"access_key": ACCESS_KEY,
"query": "artificial intelligence",
"from_date": "2023-01-01",
"to_date": "2023-12-31"
}
response = requests.get(BASE_URL, params=params)
data = response.json()
print(data)
{
"num_found": 2204,
"article_set": [
{
"category": {
"name": "Business",
"dashed_name": "business"
},
"topics": [],
"byline": "Patrick Cooley",
"description": "<h3>Dive Brief:</h3>\n<ul>\n<li>The payments processor...",
"title": "Fiserv to leverage artificial intelligence to help merchants",
"created_at": "2024-07-24 16:02:32",
"author_set": [
{
"guid": "3d14ff9e7fd4326cc106063f967b5662",
"first_name": "Patrick",
"last_name": "Cooley",
"name": "Patrick Cooley"
}
],
"licensed": "True",
"link": "https://www.paymentsdive.com/news/fiserv-to-leverage-artificial-intelligence-to-help-merchants/722266/",
"published_at": "2024-07-24 14:59:00",
"score": "15.070201",
"publisher": {
"name": "Industry Dive"
},
"source": {
"name": "Payments Dive",
"country": "US",
"guid": "18a8a8144c2255b4d2f21f7db979ea94",
"thumbnail": "http://www.google.com/s2/favicons?domain="
},
"guid": "21f1d9f249d611efa2d3d62912212c64",
"image_set": [],
"customer_favorite": null,
"customer_status": null,
"thumbnail": null,
"metadata": {
"tags": [
"risk",
"cybersecurity",
"cash",
"banking",
"card networks",
"cards",
"fraud prevention",
"retail",
"technology",
"b2b"
],
"extracted_features": {
"article_description_wordcount": 333,
"article_title_wordcount": 8,
"article_inline_image_count": 0,
"article_description_sentiment_scores": {
"negative": 0.021,
"positive": 0.193,
"neutral": 0.786,
"compound": 0.9964
}
},
"fulltext__b": true
}
},
{
"category": {
"name": "Business",
"dashed_name": "business"
},
"topics": [],
"byline": "Patrick Cooley",
"description": "<p>As generative artificial intelligence advances, payments ...",
"title": "How artificial intelligence can improve payments fraud prevention",
"created_at": "2024-07-31 16:01:29",
"author_set": [
{
"guid": "3d14ff9e7fd4326cc106063f967b5662",
"first_name": "Patrick",
"last_name": "Cooley",
"name": "Patrick Cooley"
}
],
"licensed": "True",
"link": "https://www.paymentsdive.com/news/payments-artificial-intelligence-fraud-prevention-mckinsey/722921/",
"published_at": "2024-07-31 14:57:00",
"score": "13.821308",
"publisher": {
"name": "Industry Dive"
},
"source": {
"name": "Payments Dive",
"country": "US",
"guid": "18a8a8144c2255b4d2f21f7db979ea94",
"thumbnail": "http://www.google.com/s2/favicons?domain="
},
"guid": "255e7bba4f5611efa974aa1e0cf2383f",
"image_set": [],
"customer_favorite": null,
"customer_status": null,
"thumbnail": null,
"metadata": {
"tags": [
"risk",
"e-commerce",
"account validation",
"regulations & policy",
"fraud prevention",
"technology",
"artificial intelligence",
"real-time transactions"
],
"extracted_features": {
"article_description_wordcount": 794,
"article_title_wordcount": 8,
"article_inline_image_count": 0,
"article_description_sentiment_scores": {
"negative": 0.022,
"positive": 0.063,
"neutral": 0.915,
"compound": 0.9693
}
},
"fulltext__b": true
}
},
{
"category": {
"name": "Other",
"dashed_name": "other"
},
"topics": [
{
"guid": "bdad6264b482a7a4d6ad147e43cc928f",
"name": "Beverages",
"dashed_name": null
},
{
"guid": "867a132b0ef82671dbd52c1acd593894",
"name": "Beverages",
"dashed_name": ""
},
{
"guid": "da758e2068edab54adf76a3ba191192b",
"name": "Manufacturing",
"dashed_name": null
},
{
"guid": "5cdf585034d746258db3329bc6fb1bd8",
"name": "Manufacturing",
"dashed_name": "Manufacturing"
},
{
"guid": "82e17d7077e7e4ea2a65e7e2405568e7",
"name": "Research",
"dashed_name": ""
}
],
"byline": "Christopher Doering",
"description": "<p>As artificial intelligence becomes a more important part...",
"title": "How Unilever is embracing artificial intelligence to revolutionize food development",
"created_at": "2024-05-28 14:25:29",
"author_set": [
{
"guid": "a6662a7d6c50fa3a520b68f9815d6074",
"first_name": "Christopher",
"last_name": "Doering",
"name": "Christopher Doering"
}
],
"licensed": "True",
"link": "https://www.fooddive.com/news/artificial-intelligence-AI-unilever-innovation-hellmanns/713122/",
"published_at": "2024-05-28 13:00:00",
"score": "12.69484",
"publisher": {
"name": "Industry Dive"
},
"source": {
"name": "Food Dive",
"guid": "65ff6859f2eae86c5b67d2ad1ddc846e",
"thumbnail": "http://www.google.com/s2/favicons?domain="
},
"guid": "21d76a541cfe11ef8a584e48dca1fc19",
"image_set": [],
"customer_favorite": null,
"customer_status": null,
"thumbnail": {
"link": "https://production-images.marketplaceid.net/...==?width=75&height=75",
"original_image": "https://www.fooddive.com/imgproxy/...webp",
"guid": "21f559381cfe11ef8a584e48dca1fc19"
},
"metadata": {
"tags": [
"plant-based",
"ingredients",
"beverages",
"food tech",
"research",
"packaging / labeling",
"corporate operations",
"manufacturing",
"better-for-you"
],
"extracted_features": {
"article_description_wordcount": 1989,
"article_title_wordcount": 10,
"article_inline_image_count": 1,
"article_description_sentiment_scores": {
"negative": 0.016,
"positive": 0.137,
"neutral": 0.847,
"compound": 0.9998
}
},
"fulltext__b": true
}
},
{
"category": {
"name": "Business",
"dashed_name": "business"
},
"topics": [
{
"guid": "b6769556fefb701e26efa94e36460e63",
"name": "STEM",
"dashed_name": "STEM"
}
],
"byline": "Lauren Barack",
"description": "<p>To Richard Culatta, students need to learn about artificial intelligence...",
"title": "The future is artificial intelligence. Are students ready?",
"created_at": "2024-02-07 19:02:30",
"author_set": [
{
"guid": "a43124ef222a6e73a9cdd4ba43ecfba6",
"first_name": "Lauren",
"last_name": "Barack",
"name": "Lauren Barack"
}
],
"licensed": "True",
"link": "https://www.k12dive.com/news/future-is-ai-are-students-ready/706731/",
"published_at": "2024-02-07 19:00:00",
"score": "12.252868",
"publisher": {
"name": "Industry Dive"
},
"source": {
"name": "K-12 Dive",
"guid": "51e4b7790a83423a2136cbaa28995b06",
"thumbnail": "http://www.google.com/s2/favicons?domain="
},
"guid": "710aeafcc5eb11eea3ff629dcd9098c8",
"image_set": [],
"customer_favorite": null,
"customer_status": null,
"thumbnail": null,
"metadata": {
"tags": ["curriculum", "technology", "ed tech", "stem"],
"extracted_features": {
"article_description_wordcount": 1196,
"article_title_wordcount": 8,
"article_inline_image_count": 0,
"article_description_sentiment_scores": {
"negative": 0.03,
"positive": 0.125,
"neutral": 0.845,
"compound": 0.999
}
},
"fulltext__b": true
}
}
]
}
Industry Dive is a leading business journalism company that provides in-depth, industry-specific news and analysis. Through the DiveAccess API, you will have the ability to fetch articles from Industry Dive’s 34 publications.
The API lets you obtain Industry Dive content using specific search filters. It's built to integrate with Large Language Models (LLMs) using Retrieval Augmented Generation (RAG), offering AI systems access to real time, high-quality, and specialized content. Please refer to the documentation for more information.
The data cannot be used as a standalone offering for commercial purposes such as reselling or republishing. It is licensed for use in Retrieval Augmented Generation as an enhancement provided to an LLM via the context window. We require that you properly cite the publications used in any generated output. Detailed citation examples are provided in the documentation. For any questions or clarifications, please contact us at [email protected].
No, data from DiveAccess cannot be used for training any AI/ML models or systems.
Data is returned in JSON format. Please consult the documentation for specific information relating to the API.
Developers who would like to enhance their LLM outputs with current, accurate, and relevant information.
If you have any questions about using DiveAccess for a specific use case, please reach out to us at [email protected].