Spade offers a real‑time transaction enrichment platform that converts raw payment data into structured, verified merchant and location records via a low‑latency API (under 50 ms). The enriched data—including standardized merchant names, categories, logos, and precise geolocation—can be used directly by risk engines, rewards programs, analytics pipelines, and customer‑facing applications, reducing false declines, disputes, and attribution errors for fintechs and large banks.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4OFounders
Product
Problem
Financial institutions and fintechs process billions of transactions daily, but the raw data is often unstructured, contains inaccurate merchant information, and lacks real‑time context, making it difficult to use for authorization, fraud detection, rewards, analytics, and customer experience.
Solution
Spade provides a real‑time transaction enrichment platform that transforms raw payment data into structured, verified merchant and location records. By exposing a low‑latency API (under 50 ms per transaction), Spade adds standardized merchant names, categories, logos, and geolocation to each payment event. The enriched data can be consumed directly by risk engines, rewards programs, analytics pipelines, or user‑facing applications, eliminating manual data cleaning and reducing false declines, disputes, and attribution errors. Spade also offers AI agents that automate attribution and enable autonomous decision‑making across finance workflows, delivering a single trusted data foundation for modern financial products.
Target Audience
Primary customers are fintech companies and large banks that need reliable transaction data for authorization, fraud prevention, rewards attribution, analytics, and digital banking experiences.
Features
- Real‑time API enrichment returning verified merchant, category, logo, and precise geolocation in <50 ms
- High‑accuracy merchant identification across cards, ACH, wires, and aggregated feeds
- Unified data model that normalizes identifiers and categories for enterprise‑scale analytics
- Seamless integration via REST/JSON API for risk, rewards, AI, and UX use cases
- AI‑driven Attribution Agent that can auto‑map transactions to rewards programs and generate reports
- Scalable infrastructure handling billions of transactions per month with enterprise‑grade performance