From raw transactions to real intelligence
Power next-generation analytics and AI systems with verified merchant and transaction context.
- Millions of transactions enriched daily
- <50 ms response time
- Trusted by $100B+ in payments
- Millions of transactions enriched daily
- <50 ms response time
- Trusted by $100B+ in payments



Analytics, marketing and AI teams spend more time cleaning data than creating insight.
Messy to insight-ready in milliseconds
Spade turns messy payment data into structured intelligence that makes analytics faster and AI models smarter.
Uncover customer insights, instantly
Get immediate visibility into spending behavior and customer needs — powering smarter marketing, loan targeting, cross-sell, and executive insight.
Accelerate insight generation
Replace months of cleanup with instant, API-delivered enrichment for millions of transactions.
Unify analytics and operations
Connect teams around a single, trusted data layer that powers consistent reporting and decision-making.
Scale with confidence
Process billions of data points in real time — with performance proven across $100B+ in payments every month.
Build on enriched data directly, or deploy Spade’s AI Agent as your intelligence layer to generate enterprise-grade analytics across products, customers, and cohorts.
Cleaner data. Faster analysis.
Automated insight generation. Effortless at any scale.
Cleaner data. Faster analysis.
Connect your transaction feeds
Spade’s API ingests card, ACH, and Off-us data, normalizing structures and identifiers for enrichment.
Map every transaction to its source
Each record is linked to a verified merchant with accurate name, category, and location.
Unify across payment types
Spade standardizes categories and identifiers so all your systems speak the same data language.
Feed your analytics stack
Structured data flows directly into your warehouse or ML pipelines for immediate use.
Turn raw spend data into market intelligence
Beyond financial institutions, hedge funds and analytics providers use Spade to bring structure to massive consumer spend panels — tagging every transaction to the right merchant and turning raw data into real market insight.











