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Top 10 Financial Datasets for AI & Data Science

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Pandada Published on 2025-08-05
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Financial datasets for AI and Data Science are valuable for building reliable models for various reasons. They can be useful for algorithm trading, risk assessment, fraud detection, credit scoring, market analysis, process automation, enhancing customer relations, security analysis, portfolio management, stock market forecasting, big data analysis, and asset valuation.

Therefore, you need to find resources that are relevant to the project that you want to undertake. The datasets can either be publicly offered or require a purchase. We have highlighted some of the best companies and platforms that offer financial datasets for AI.

Brightdata offers reliable financial datasets for AI and data science. You gain access to the Yahoo Finance datasets, which include information on financial and corporate data. Some of the specific data you can get is company profiles, stock prices, market capitalization, revenue, and key performance metrics. The dataset can be beneficial to any user, especially financial analysts, investors, and researchers. With the dataset, you will always be updated on the latest market trends and major company performances. Luckily, you can easily customize the datasets using filters and formatting options. 

You can use the data to track performance, adjust risk levels, gauge the performance of existing investments, identify potential investment opportunities, minimize risks, and find promising business partnership opportunities.

Features
  • With the Yahoo financial dataset, you are assured of over 547,000 records

  • Ethically sourced data with 100% compliance with data regulations.

  • Free Yahoo Finance data samples for download

  • Data in JSON, NDJSON, JSON Lines, Parquet, and CSV formats

  • Easily customize, enrich, and format the data

  • Storage or delivery via Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.

Pricing

  • Dataset – Starts from $250/100K records

Oxylabs is another reliable platform where you can get financial datasets for AI and data science. Through its company datasets, you can get more insights into the business world, discover new business prospects, find investment opportunities, track competitor performance, and much more. 

The company dataset information is obtained from reliable sources such as Owler, AngelList, Crunchbase, Craft.co, and ProductHunt.  The data you get includes company name, company size, founding date, location, industry, revenue, employee count, and competitors. 

With this information, it will be easy to evaluate whether the business is a great investment option. Additionally, get to choose your preferred data delivery method, storage option, frequency, input, and output formats.

Features

  • Receive the datasets in CSV, JSON, and other formats

  • Choose storage options such as AWS S3, Google Cloud Storage, and much more

  • Get the datasets delivered to you based on the set frequency, such as one-time, monthly, quarterly, or biannually. 

  • Structured and ready-to-use company datasets

  • The data is ethically sourced.

Pricing

  • Standard dataset – Starts from $1000/month; data is delivered monthly, quarterly, and one-time.

  • Custom dataset – Tailored pricing; data is delivered daily, weekly, monthly, quarterly, and custom.

3. Thordata

Thordata is another remarkable platform that offers financial datasets for AI. On Thordata, you can gain access to various companies’ insights to better understand investment opportunities, current market trends, business opportunities, and ecommerce platforms that are thriving, financial institutions, stock information, etc. 

Thordata datasets & solutions are trusted by over 4000 enterprises; therefore, you can trust the data. Also, all the data is validated, so no fear of duplicates or errors, 100% ethically sourced and compliant. You only pay for what you need and get to access new or updated records.

Features

  • A wide range of datasets that can be used to get financial insights

  • Access to over 120+ domains, 190+ datasets and 7.7K data samples

  • When you click on any dataset, you get an overview of the data fields, records, and refresh rate.

  • Structured and validated data tailored to your needs.

  • JSON and CSV format support.

Pricing

  • Dataset – Subscription based on the dataset you want to purchase

4. Infatica

Infatica offers data solutions that you can use to get business and financial insights. Therefore, if in need of reliable and actionable data insights, Infatica is the perfect solution for you. Infatica also has a reliable and dedicated team and support that helps you solve problems you are currently encountering. 

Additionally, get to enjoy flexible and scalable solutions for daily use. Get data from various sources such as Google, Amazon, TikTok, eBay, Booking, and LinkedIn. Also, always be assured of getting pre-loaded data without necessarily having to scrape the data yourself. 

The comprehensive datasets allow you to focus on analysing insights without necessarily having to collect them. Get to enjoy extensive data coverage, data quality assurance, customizable solutions, advanced technology, data security, and compliance.

Features

  • Bespoke data schema

  • Legal, CCPA, and GDPR compliance

  • Control your crawls

  • Enterprise-level SLA

  • Supported output methods include JSON, CSV, etc.

  • Support for cloud delivery options.

Pricing

  • Dataset – Custom pricing based on the dataset

5. Novada

Novada offers different financial datasets for data science and AI. You can get the data from Crunchbase, B2B contact and company data, employee business enhanced dataset, Yelp business overview, company information augmented dataset, and Yahoo Finance Company Information datasets. 

Novada features ready-to-use datasets that help provide faster business and financial insights. Be assured of structured and validated data tailored for your business needs. Indeed, the valuable data can be essential for your different campaigns.

Features

  • The datasets are ready to use and come from diverse sources

  • Constantly updated structured datasets.

  • Ease in accessibility

  • Varied data types

  • Samples for evaluation. 

  • JSON, CSV, etc., format availability

  • Includes clear field names and essential metadata

Pricing

  • Standard datasets – Custom pricing

  • Custom datasets – Custom pricing

6. AWS marketplace

You can also access the Yahoo Finance Business dataset through the Amazon AWS marketplace. It is provided by Bright Data, but deployed on the AWS Amazon marketplace. It currently has 1000 records, and if in need of more, you will need to contact the provider. The Yahoo Finance Business dataset offers reliable insights into the financial landscape of top-traded companies.

It includes information on companies, stock ticker details, risk scores, and other company attributes that can help you make informed decisions. Through the dataset, you can easily gain valuable insights into users' experiences and sentiments to better understand customers’ perceptions. Also, get to know user interaction insights and review contextual information.

Features

  • The dataset features financial metrics

  • It includes earnings information

  • It features market exchange details

  • It has a wide range of company profiles to help you understand businesses better.

Pricing

  • Dataset – Custom AWS subscription

7. IMF data

The International Monetary Fund website provides users with access to economic and financial data. You can search through the platform to find relevant information that is relevant to your research. 

You can filter the datasets based on the various categories such as International Financial Statistics, Fiscal Sector, financial and monetary sector, balance of payments, national accounts, International investment position, gross domestic product, economic forecasting, international trade, World Economic Outlook, exchange rates, exports, external debt, prices, revenue administration, etc.

Features

  • Each dataset allows users access to its API, metadata, and the ability to download

  • You get a vivid overview of each dataset and the information to expect.

  • It provides information on sharing access, update frequency, and department/category.

  • Some datasets can be publicly shared, while some are restricted.

  • Download in CSV or other formats.

Pricing

  • Free to access

8. Kaggle

Kaggle is another reliable platform where you can access financial datasets for AI training and data science. It features over 11K datasets in different topics and categories. What makes the Kaggle datasets stand out is that, besides each dataset, it has a usability rating, bronze or gold rating, the number of downloads so far, and the number of files to expect. 

Users can also upvote a dataset based on how useful it is. The datasets are well-structured for users to easily understand and use for various reasons. Some of the dataset examples include the Massive Yahoo Finance Dataset, the Finance and Economics dataset, Yahoo Finance all stocks, Finance company loan data, etc.

Features

  • The datasets are license-based

  • You also get information on the update frequency.

  • Get access to relevant information on collaborators, author, coverage, DOI citation, activity overview, etc.

  • Easily download via Kagglehub, Kaggle CLI, cURL, and microissan.

Pricing

  • The datasets are license-based.

9. Financial Datasets

Finanedataset.ai gives you access to the highest quality financial data. The data goes back over 30 years; therefore, you can trust their data whether you need historical or real-time financial data. What makes the platform stand out is the fact that its data comes directly from official government agencies and regulated exchanges; therefore, it is data that you can trust. 

Additionally, you are guaranteed accurate and reliable data. All kinds of professionals trust the data, starting from engineers, researchers, and investors. The data to expect includes financial statements, stock prices, crypto prices, insider trades, company news, SEC filings, Crypto data, and much more. Financialdatasets.ai is trusted by various companies & institutions like Google, OpenAI, Stanford University, Acorns, etc.

Features

  • It features an easy-to-use API for the convenience of developers

  • The AI models and agents can use the remote MCP server to access real-time data

  • Connection to the MCP server is through Claude, Cursor, VS Code, Windsurf, Zed, and CLI

Pricing
You can either choose subscription-based payments that offer unlimited requests and predictable costs, or credit-based payments that are usage-based and based on pay-per-request.

  • Subscription – Standard - $199/month

  • Subscription – Advanced - $499/month

  • Business – Custom price

10. Datarade.ai

Datarade.ai is another ideal platform that you can get top financial datasets for AI and data science. Additionally, with each result, it showcases information on its variables so that you can decide whether it will be valuable to you to not. Moreover, you get to see the supported countries, or those included in the dataset. 

With each dataset, you get information such as the importance of the dataset, use cases, data highlights, features of the dataset, APIs, country coverage, pricing, quality, suitable company usage, quality, delivery, and categories. Some of the financial datasets include: company finance data, automotive consumer data, private companies' financial data, etc.

Features

  • Supported methods include SFTP, Email, UI export, Rest API, and Feed API.

  • Frequency – monthly, quarterly, yearly, real-time time and on demand

  • Supported formats are bin, json, xml, csv, xls, sql, and txt.

  • It features reputable data providers.

Pricing

  • Pricing is dataset-specific.  E.g. $0.05/100 leads.

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Conclusion

The financial datasets can be beneficial for ratio analysis, trend analysis, fraud detection, algorithmic trading, risk assessment, credit scoring, customer segmentation, predictive modeling, and predictive patterns.

The financial datasets are very valuable and can help you in various ways. Access the top 10 financial datasets for AI and data science easily on these platforms today!

Top 10 Financial Datasets for AI & Data Science review FAQ

A dataset is a structured collection of data organized in tables or spreadsheets. It is valuable for analysis, machine learning, statistical modeling, AI training, research, or other apps. It is often organized in rows and columns.

Financial datasets are collections of data related to financial performance, business activities, markets, or individuals. Some of the information may include financial statements, SEC filings, press releases, stock prices, insider trades, institutional ownerships, segmented financials, news, web data, social media data, geolocation data, credit card transactions, email receipts, satellite imagery, etc.

The structured data follows a fixed format with rows and columns, unstructured data includes text from news articles, social media, etc., while semi-structured data falls in between.

All professionals, including data scientists, engineers, financial analysts, accountants, statisticians, auditors, cryptocurrency enthusiasts, etc.
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