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Best Bank Transaction Datasets, Databases & APIs

What is Bank Transaction Data?

Bank transaction data is collected from the records of money flow that has moved in and out of an individual's account, also known as account statements. Datarade helps you find bank transaction data APIs, datasets, and databases.Learn more

7 Results

AML Data on traditional and crypto transactions

by HubioID
Data owners will be able to sell their data to any interested party, including corporations, and get ... Zero-party permission based data directly sold by users of Self-Sovereign Identity platform on our DMP
Available for 246 countries
Pricing available upon request

Multimedia List - Transactional Retail & Bank Card Holder Data USA (24 Million records)

by Multimedia Lists
Some data fields are: Status of Cards Store Number Store Code Transaction Date ... This data product is provided by Multimedia Lists.
Available for 1 countries
24M transaction retail and bank card holders
Available Pricing:
One-off purchase
Monthly License
Free sample available

UNBANKS Real-Time EU Consumer Transaction Data (de-identified, pay as you go option available)

Clean tagged consumer transaction data. ... Single unified EU account level user banking data including bank account transactions (Traditional and
Available for 51 countries
2 years of historical data
Starts at
€350,000€332,500 / year
5% Datarade discount
Free sample available
10% revenue share

Bank Statements from different countries

by TagX
Synthetic Bank Statements from countries all over the world. ... We have synthetically generated datasets of Bank Statements from Banks around the world.
Available for 249 countries
Pricing available upon request

U.S. Banks Ranked by Non-Current Loan Volume

by Hoeg & Company
The data includes the amount of income earned but not collected on loans for each bank. ... The data covers all U.S. banks submitting call reports to the FDIC.
Available for 1 countries
4 years of historical data
Pricing available upon request
Start icon5.0(3)

Fraud Detection: Brand Safety Monitoring

by Otto JS
Monitor the web for fraudsters spoofing your ads and domains; sending customers to fake phishing sites.
Available for 249 countries
5 Brand Domains
2 years of historical data
90% Domain matic
Starts at
$300$270 / purchase
10% Datarade discount

Monitoring changes in customers and suppliers

by Soleadify
Soleadify is a modern data technology company. ... We deliver our solution through APIs that support two broad uses: searching and data enrichment.
Available for 217 countries
50 data points
24 months of historical data
95% accuracy
Available Pricing:
Yearly License
10% Datarade discount
Free sample available
25% revenue share - TagX profile banner
Based in India
Artificial Intelligence requires rigorous high-quality training data. TagX helps companies collect new datasets and annotate existing datasets. - Otto JS profile banner
Otto JS
Based in USA
Otto JS
otto provides security solutions to security software companies, MSSPs, researchers and Fortune 500 companies. The otto intelligence engine is powered by a c...
Attacks Mitigated - HubioID profile banner
Based in USA
Enhance your existing contact records with up to 200 fields of data including affinities, interests, in-market indicators, and more. We empower marketers wit...
Target actionable insights.
Replace dying cookies.
20B behaviors processed daily. - Soleadify profile banner
Based in Romania
Soleadify is a modern data technology company. Every week, we use AI and NLP to capture and refresh web and social media content on over 70 million active S...
Company Profiles
Data Attributes - Hoeg & Company profile banner
Hoeg & Company
Based in USA
Hoeg & Company
Efficiency and Quality Ratings measure of how well a bank uses its resources to achieve profitable results and build a quality business portfolio. The evalua...
Coverage of U.S. Banks
Number of Banks Rated
Number of Quarters of Ratings
Based in USA
Cardlytics is a data provider offering Demographic Data, Credit Card Transaction Data, Alternative Data, Loyalty Card Data, and Bank Transaction Data. They a...

The Ultimate Guide to Bank Transaction Data 2022

Learn about bank transaction data analytics, sources, and collection.

What is Bank Transaction Data?

Bank transaction data is data that shows cash in and cash out of an account, normally referred to as account statements. It can include logistical, financial, and work-related insights for individual account-holders, as well as corporate and company accounts.

How is Bank Transaction Data collected?

This data in the modern-day running of banks where the focus has shifted away from paperwork, electronic transactions can be found on bank databases, and can also be generated from customers through interactions with bank sales agents and service representatives and transactions. In modern banking, where banks are striving every day to offer personalized services to every customer, banks have made it a key strategy to send customers bank statements that highlight bank transaction details.

What are the typical attributes of Bank Transaction Data?

This data includes such information as the number of credit card withdrawals per day, the value of credit card withdrawals per day, cash credits value and number of online transactions. This gives the user access to the specific information they need.

How is Bank Transaction Data commonly used?

Bank transactional data can be leveraged by banks in many ways. In well-structured systems, banks can use this data to group their clients and customers in a way that they handle and sell their policy products to them. The success of any bank is pegged on their ability to understand their customers’ needs and they can only do this with good data in place. Having an aggregated customer database enables a bank to leverage big data analytics for better marketing strategies.

How can a user assess the quality of Bank Transaction Data?

To remain competitive in a red ocean competitive business environment, conventional banks should make intelligent and intuitive decisions on how best to serve their customers. As such, the backbone of intelligent decision making is the quality of data collected about every client. The quality of bank transactional data is gauged by how effectively is can be utilized by its user. Bank transaction data should allow a user to make smarter decision and generate high ROI. This can only be achieved when the data is consistent and complete. ‘Consistency’ means that the data has been collected over a suitable span of time and is always up to date. Bank transactional data accuracy is also a key indicator of good quality, as only with accurate statistics can a user make effective, data-driven decisions.

Where can I buy Bank Transaction Data?

Data providers and vendors listed on Datarade sell Bank Transaction Data products and samples. Popular Bank Transaction Data products and datasets available on our platform are AML Data on traditional and crypto transactions by HubioID, Multimedia List - Transactional Retail & Bank Card Holder Data USA (24 Million records) by Multimedia Lists, and UNBANKS Real-Time EU Consumer Transaction Data (de-identified, pay as you go option available) by UNBANKS.

How can I get Bank Transaction Data?

You can get Bank Transaction Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Bank Transaction Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Bank Transaction Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Bank Transaction Data?

Bank Transaction Data is similar to Credit Card Transaction Data, Point-of-Sale (POS) Data, Loyalty Card Data, Consumer Transaction Data, and Debit Card Transaction Data. These data categories are commonly used for Purchase Intelligence and spending analytics.

What are the most common use cases for Bank Transaction Data?

The top use cases for Bank Transaction Data are Purchase Intelligence, spending analytics, and behavioral analytics.