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Data Enrichment

by Mono · Since 2020
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Active1+ countriesCloud
Quick facts
VendorMono
Year launched2020
StatusActive
LocationLekki Phase 1, Lagos, Nigeria
Countries served1+
Languages1
Integrations
Free tier
Free trial
Contact salesYES

About Data Enrichment

Mono Data Enrichment is a data enrichment platform from Mono that changes raw transaction data into capable financial intelligence. It categorizes, analyzes, and extracts meaningful insights so developers can create smarter products. This platform provides features such as customer financial insights, use case identification, and support for developers, enabling them to build applications that offer tailored financial services. Mono Data Enrichment integrates easily with existing systems, allowing businesses to use the full value of their transaction data. Key capabilities: data categorization insights extraction analysis tools developer support custom use cases Best for: developers and businesses that need actionable financial insights from transaction data.

Mono Data Enrichment is a powerful API‑based financial data enrichment solution from Mono Technologies Nigeria Limited, designed to transform raw transaction information into meaningful insights. Built for the African fintech ecosystem, it extends Mono’s Open Banking platform by adding machine‑learning‑driven categorization, metadata enrichment, and statement insights that help businesses deeply understand customer behavior. Developers and product teams can use its modular endpoints to automatically classify transactions, extract detailed metadata like merchant and location attributes, and summarize financial patterns such as spending trends or cash flows. This enriched data supports building advanced features like personalized budgeting tools, smarter credit risk models, and automated expense reporting. Its integration with the broader Mono Connect API allows real‑time access to linked bank accounts or supports manual CSV uploads, giving flexibility in how data is sourced. While the pay‑per‑call pricing model (e.g., NGN 70–500 per endpoint) can add up at scale, the detailed insights and developer‑friendly documentation make it a compelling choice for fintechs and digital banks.

Pros & Cons

What users like
  • +Connects to multiple banks across Africa allowing real-time financial data retrieval
  • +Provides highly accurate transaction categorization with 99% machine learning accuracy
  • +Offers enriched metadata on transactions including merchant, location, and transaction type
  • +Generates actionable insights and statement summaries to enhance decision making
  • +Supports both real-time bank connections and historical CSV uploads for flexibility
What users flag
  • Dependent on quality and accessibility of linked bank data
  • Historical data upload can require manual formatting
  • Requires developer integration and technical expertise to implement
  • Feature customization may be limited to API capabilities and endpoint options

Features

Key features

Automated Transaction Categorization
Classifies financial transactions into hundreds of categories automatically using machine learning for accurate insights
Transaction Metadata
Provides detailed information for each transaction including merchant, location, and payment channel
Statement Insights
Generates summaries and patterns from bank statements to detect unusual activity and spending trends
Bank-Grade Security
Ensures customer financial data is encrypted and protected to the highest standards
Integration via Mono Connect
Allows seamless access to live financial accounts for enriched data
Historical Upload Support
Enables enrichment of past transactions via CSV uploads for comprehensive insights
Webhook Events
Sends real-time notifications of transaction enrichment results for automated workflows

Additional features

Machine-Learning Driven Classification
Uses AI models trained on millions of transactions to ensure 99% categorization accuracy
Income & Cash Flow Pattern Detection
Analyzes statements to identify spending trends, cash flow, and financial behavior
Merchant & Transaction Context Metadata
Provides additional context such as merchant details, location, and transaction type
Historical Upload Support
Supports manual upload of historical transactions for analysis
Webhook Events
Enables asynchronous updates when transaction data is enriched
Real-Time Account Access
Retrieves financial data instantly from linked customer accounts
Expense Categorization for Personal Finance
Automatically classifies expenses for budgeting and tracking
Statement Summarization
Summarizes bank statement activity into actionable insights
Credit Risk Insights
Provides financial behavior patterns to help assess creditworthiness
Data Security & Privacy Compliance
Maintains encryption and adheres to bank-grade security standards
Customizable API Endpoints
Allows developers to retrieve only the data required for their application
Automated Reporting
Generates insights and summaries automatically for dashboards and analytics

Pricing

Free trial
Free version
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Countries & Languages

1
Countries served
1
Interface languages
1
Billing currencies

Available in

Africa

Interface languages

English

Billing currencies

🇳🇬NGN

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