Spade: Transaction Data Enrichment for Finance
Spade helps financial institutions and fintechs organize transaction streams. It is designed for teams requiring high-speed data enrichment for risk, rewards, or accounting workflows.
At a glance
- Category
- Data & Analytics
- Best for
- Fintech companies, Commercial banks, Financial software developers, Payment processors, Enterprise financial institutions
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Risk and Authorization, Rewards and Attribution, Financial Analytics, Customer Experience, Accounting Automation
- Integrations
- API integration
- Official website
- spade.com
Spade is a data and AI platform designed to turn inconsistent transaction descriptors into structured, verified records. It provides merchant and location intelligence that can be used across a financial product's infrastructure.
The software is built for fintechs, banks, and AI companies that process large volumes of payments. It helps these organizations resolve cryptic transaction strings by matching them to stable business entities.
Buyers can use the platform to support various workflows, such as helping reduce false declines in risk systems or supporting hyper-local reward programs. The system supports high performance, with enrichment latency reported under 50 milliseconds.
Because the tool is an API-driven infrastructure component, buyers should confirm how it fits into their existing data pipeline and verify that the coverage for their specific target regions meets their needs.
Key Features
Standardizes merchant descriptors into structured records with verified metadata.
Uses AI to support automated real-time decisioning and workflows like transaction attribution.
Provides verified details on merchants and geolocations for physical transactions.
Offers an integration layer with P99 enrichment latency under 50 milliseconds.
Includes SOC 2 Type II certification and encryption for data in transit and at rest.
Use Cases
Adding verified merchant context to authorizations to help reduce false declines and detect fraud.
Matching purchases to specific local merchants to support hyper-local rewards programs.
Feeding structured transaction data into AI models and analytics tools for consistency.
Providing clear merchant names and details to users to help them recognize charges.
Supporting automated categorization of spend to help reduce manual cleanup in accounting workflows.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It takes inconsistent transaction descriptors and turns them into structured records with merchant and location metadata.
Spade is designed for real-time use, with a P99 enrichment latency of under 50 milliseconds.
It is SOC 2 Type II certified and uses encryption for data at rest and in transit. It does not handle personally identifiable information.
It is designed for mid-market and enterprise-level fintechs, banks, and AI companies that need a data foundation for payment-related products.
Source category: Data & Analytics
Source subcategory: Data Integration
