Banking transactions, loan data, market analysis
Account types, balances, transaction limits
This dataset provides comprehensive bank account details for testing and validating banking systems, including account types, balances, transaction limits, and detailed account holder information. It is ideal for simulating real-world banking scenarios, performing system integration tests, and validating compliance requirements in financial applications.
Transaction amounts, merchant details, timestamps, authorization codes
This dataset provides granular, masked credit card transaction records including transaction amounts, merchant details, timestamps, authorization codes, and fraud flags. It supports robust analysis for fraud detection, merchant risk assessment, and payment trends across regions and card types. The dataset is ideal for financial institutions, payment processors, and analytics teams seeking actionable insights into card-based payments.
Payer and payee identifiers, transaction amounts, payment methods, fees
This dataset provides a detailed log of payment transactions, including payer and payee identifiers, transaction amounts, payment methods, fees, and reconciliation status. It is ideal for financial auditing, transaction monitoring, and reconciliation processes, supporting robust analysis and compliance reporting.
Invoice numbers, customer information, payment terms, due dates
This dataset provides detailed business invoice records, including invoice numbers, customer information, payment terms, due dates, and line item breakdowns with amounts and payment status tracking. It enables comprehensive financial analysis, accounts receivable management, and payment compliance monitoring for businesses of any size.
Detailed breakdowns, certifications, and reporting standards
This dataset provides annual ESG (Environmental, Social, Governance) evaluation scores for small businesses, including detailed breakdowns, certifications, and reporting standards. It enables benchmarking, sustainability reporting, and trend analysis, supporting informed decision-making for investors, regulators, and business owners.
Business demographics, financial metrics, and loan terms
This dataset provides detailed records of microbusiness loan applications, approvals, and repayments, including business demographics, financial metrics, and loan terms. It is ideal for analyzing financial inclusion, SME funding strategies, and the impact of lending on microbusiness growth and sustainability.
Daily volatility signals across multiple asset classes, combining price
This dataset provides daily volatility signals across multiple asset classes, combining price and volume data with calculated volatility indices, cross-asset comparisons, and sentiment features from news and analyst reports. It is ideal for risk analysis, algorithmic trading, and investment strategy optimization, enabling users to identify market risk and opportunity with rich contextual information.
Applicant demographics, financial background, requested loan details
This dataset provides detailed records of credit applications, including applicant demographics, financial background, requested loan details, application outcomes, and product types. It enables financial institutions to analyze approval rates, assess risk profiles, and optimize credit product offerings for diverse customer segments.
Account activity, transaction volumes
This dataset provides comprehensive performance metrics for individual bank branches, including account activity, transaction volumes, and customer feedback scores over specific reporting periods. It enables detailed analysis of operational efficiency, customer satisfaction, and issue resolution, supporting data-driven management decisions and branch benchmarking.
Customer lifetime value in financial services
This dataset provides a comprehensive view of customer lifetime value in financial services, combining detailed transaction history, product retention, and churn indicators for each customer-product relationship. It enables granular analysis of customer profitability, retention strategies, and churn prediction, making it ideal for financial institutions seeking to optimize customer engagement and value.
Sender and receiver information, transaction amounts, payment methods
This dataset provides detailed records of peer-to-peer payment transactions, including sender and receiver information, transaction amounts, payment methods, risk flags, and product opportunity indicators. It enables comprehensive analysis of payment trends, user behaviors, geographic patterns, and identification of risky or innovative financial activities for product development.
Transaction details, merchant and customer identifiers
This dataset provides granular records of merchant transactions scored for risk, including transaction details, merchant and customer identifiers, risk assessment metrics, and compliance/fraud flags. It enables financial institutions to identify suspicious activity, support regulatory compliance, and optimize fraud detection workflows with actionable insights.
Payment history and default status, to support advanced risk modeling
This dataset provides detailed borrower profiles and comprehensive loan performance records, including payment history and default status, to support advanced risk modeling and mitigation strategies. It is ideal for predictive analytics, credit scoring, and financial risk assessment in lending environments.
Suspicious transaction details, merchant information, alert status
This dataset provides detailed records of credit card fraud alerts, including suspicious transaction details, merchant information, alert status, and investigator actions. It enables financial institutions to detect, investigate, and respond to fraudulent activities efficiently, supporting enterprise risk management and loss mitigation.
Invoice amounts, payment delays, business entity profiles, and payment terms
This dataset provides detailed B2B invoice payment histories, including invoice amounts, payment delays, business entity profiles, and payment terms. It enables financial planning, cash flow optimization, and risk assessment by revealing payment patterns and behaviors across industries and geographies.
Action logs and rich demographic profiles for users interacting with digital wallets
This dataset provides granular action logs and rich demographic profiles for users interacting with digital wallets, enabling in-depth analysis of adoption drivers and barriers. It supports behavioral segmentation, trend identification, and targeted strategy development for financial technology products.
SME loan applications, featuring detailed business profiles
This dataset provides a comprehensive view of SME loan applications, featuring detailed business profiles, financial metrics, application specifics, and lending decisions. It enables robust credit risk modeling, operational analytics, and benchmarking for financial institutions serving small and medium enterprises.
Customer demographics, merchant information, and transaction characteristics
This dataset provides detailed, anonymized credit card transaction records, including customer demographics, merchant information, and transaction characteristics. It is designed for in-depth analysis of customer behavior, marketing campaign effectiveness, and fraud detection, making it valuable for financial institutions and data scientists seeking actionable insights.
Microtransaction logs, capturing both legitimate
This dataset provides detailed synthetic microtransaction logs, capturing both legitimate and fraudulent activities with realistic attack scenarios. It includes user, transaction, device, location, and fraud scenario fields, making it ideal for developing, benchmarking, and validating fraud detection models in financial microtransaction environments.
Demographics, account activity, channel preferences, and churn risk scores
This dataset provides comprehensive behavioral and transaction profiles for bank customers, including demographics, account activity, channel preferences, and churn risk scores. It is designed for advanced customer segmentation, targeted marketing, and predictive analytics to drive retention and personalized banking strategies.
Demographic, financial, and credit information, as well as loan terms
This dataset provides comprehensive, flat-structured records of individual loans and borrower profiles, including demographic, financial, and credit information, as well as loan terms, status, and default indicators. It is ideal for building predictive models for loan default risk, optimizing lending portfolios, and conducting borrower risk analysis in financial services.
Applicant demographics, financial profiles, loan characteristics
This dataset provides detailed records of loan applications, including applicant demographics, financial profiles, loan characteristics, approval outcomes, and supporting information such as co-applicant and collateral details. It enables financial institutions to analyze approval trends, assess risk factors, and refine lending criteria for improved decision-making and portfolio management.
30 cols
Borrower profiles, property information, loan terms, payment history
This dataset provides detailed mortgage loan records, including borrower profiles, property information, loan terms, payment history, and default/foreclosure status. It is designed to help lenders assess and predict mortgage default risk, optimize portfolio management, and support regulatory compliance and risk modeling initiatives.
Financial transactions, enriched with fraud detection indicators, device
This dataset provides detailed records of financial transactions, enriched with fraud detection indicators, device and location metadata, and merchant information. It is designed to help financial institutions identify and analyze fraudulent activities, supporting both real-time monitoring and historical pattern analysis for risk mitigation and compliance.
Code systems found in the sample rows of all 248 finance datasets.
Generated
One sentence in. A dataset with that pattern out.
| channel | mcc | amount | is_fraud |
|---|---|---|---|
| Online | 5411 | 84.20 | 1 |
| Chip | 5812 | 23.50 | 0 |
| Online | 5999 | 412.00 | 1 |
| Online | 5999 | 412.00 | 1 |
A pattern you asked for Everything else