The first fintech platform with a native MCP server

Composable Fintech.
Agent-Ready APIs.

10 composable financial primitives — payment, fraud, KYC, ledger, tax, split, and more. Pick what you need, wire them together, and let AI agents build on top via the native MCP server.

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checkout.ts
import { Finstack } from '@finstack/sdk'; const finstack = new Finstack({ apiKey: 'sk_live_...' }); // Compose: payment + fraud + tax + receipt — one call const checkout = await finstack.compose({ primitives: ['payment', 'fraud', 'tax', 'receipt'], amount: 4999, currency: 'USD', customer: { id: 'cus_123', email: 'user@example.com' } }); // → Payment captured · Fraud 12/100 · Tax $4.45 · Receipt sent console.log(checkout.payment.status); // 'captured'
$7T
Embedded finance market
10
Composable primitives
50+
React Native UI components
<1ms
Edge-native latency
Composable Architecture

10 Financial Primitives.
One Platform.

Mix and match independent services to build any fintech product — without the compliance overhead.

💳
Payment
Accept any payment method — cards, ACH, wallets
🛡️
Fraud
AI-powered risk scoring and fraud prevention
🧾
Receipt
Automated receipts and multi-channel delivery
👤
Customer
Customer profiles, history, and segmentation
🏛️
Tax
Real-time sales tax across jurisdictions
💰
Tip
Tipping flows, tip pools, payout splitting
✂️
Split
Payment splitting, escrow, marketplace payouts
📦
Inventory
Stock tracking, variants, reserve-on-purchase
⭐
Loyalty
Points, rewards, tiers, and referral programs
📊
Analytics
Financial insights, CDP, real-time dashboards
AI-Native

AI That Understands Finance

Purpose-built AI trained on financial data, embedded directly into every primitive.

  • 🤖
    AI Fraud DetectionReal-time risk scoring with ML models tuned for financial transactions
  • 🔮
    Workflow OrchestrationDescribe a flow in plain English — AI composes the primitive chain
  • 💬
    AI Customer SupportContext-aware financial support agent with transaction history access
  • 📈
    Predictive AnalyticsChurn prediction, LTV modeling, and anomaly detection out of the box
🤖 fraud.score() — Live result
Risk Score12
✓ Device known ✓ Geo match ✓ Velocity normal ⚠ New card
recommendation"approve"
confidence0.94
model_versionfinstack-fraud-v3
latency_ms18
signals_evaluated47
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