Build with Production-Grade Sandboxes
A suite of isolated, pre-configured environments for testing critical stablecoin infrastructure. From treasury management to cross-chain settlement, validate your systems with realistic data and traffic.
Global Requirements
Every sandbox ships with the same API surface, identity model, and observability baseline to keep integrations predictable.
Standardized Interfaces
Every sandbox exposes clean REST APIs and webhooks. We provide OpenAPI specs and Postman collections so you can start calling endpoints immediately.
Realistic Data Seeding
Don’t start from scratch. We include scripts to seed your environment with realistic treasury balances, investor profiles, and transaction histories.
Identity & Access
Built-in IAM policies and service account mapping. Test your permission models alongside your application logic.
Full Observability
Tracing, logging, and metrics are pre-configured. See exactly what happens when a transaction fails or latency spikes.
Sandbox Modules
Eight focused sandboxes covering treasury, liquidity, cross-chain settlement, regulatory reporting, and agentic operations.
Sandbox
Treasury Operations
- Manage mint/burn cycles with a double-entry ledger
- Automate liquidity sweeps across reserve assets
- Simulate market shocks to test solvency
Sandbox
Tokenized Funds
- Calculate NAV and process daily yield accruals
- Handle subscriptions and redemptions at scale
- Model investor behavior and fund performance
Sandbox
Cross-Chain Settlement
- Bridge assets between EVM and Solana devnets
- Test finality delays and chain reorg handling
- Visualize settlement risk in real-time
Sandbox
Liquidity Routing
- Optimize trade execution across synthetic AMMs
- Simulate slippage, gas costs, and MEV
- Enforce trading policies programmatically
Sandbox
Hybrid Settlement
- Reconcile off-chain ledgers with on-chain state
- Automate exception handling for mismatches
- Synchronize data via reliable webhooks
Sandbox
Regulatory Compliance
- Screen transactions against AML watchlists
- Generate SAR narratives using AI
- Simulate Travel Rule data exchanges
Sandbox
Protocol Integration
- Integrate with major stablecoin standards (USDC, EURC)
- Mock custodial and MPC wallet interactions
- Test smart contract compatibility
Sandbox
Agentic Operations
- Deploy autonomous agents for treasury management
- Coordinate complex workflows with shared memory
- Audit agent actions and decisions
Detailed Sandbox Blueprints
Authentic work-ups that pair API services, GCP resources, synthetic data, and runnable code fragments for each sandbox.
Authentic scenario coverage
A complete environment for managing stablecoin reserves. Simulate the flow of funds between cash, T-bills, and reverse repo facilities. Test your system’s ability to maintain target allocation ratios under pressure.
- Double-entry ledger for absolute financial integrity
- Automated sweep engine to rebalance reserves
- Stress testing harness for liquidity scenarios
- Cloud Run for scalable microservices
- AlloyDB for high-performance ledger storage
- Pub/Sub for decoupling transaction processing
- Pre-loaded reserve asset portfolios
- Simulated redemption request streams
- Historical yield curve data for modeling
Wire these services with the shared ledger, wallet abstraction, and chaos toggles to validate operational safety nets before pushing any mainnet change.
// services/treasury/sweep.ts
import { calculateRebalance } from '@/lib/allocation';
import { executeTransfer } from '@/lib/ledger';
export async function runDailySweep(targetRatio: number) {
const currentHoldings = await getHoldings();
const transfers = calculateRebalance(currentHoldings, targetRatio);
for (const transfer of transfers) {
await executeTransfer(transfer);
}
return { status: 'completed', transfers };
}Authentic scenario coverage
Build and test the infrastructure for tokenized real-world assets. From NAV calculation to yield distribution, this sandbox provides the core components needed to run a compliant on-chain fund.
- Precise NAV calculation engine
- Automated yield accrual and distribution
- Subscription and redemption workflow management
- Cloud Functions for scheduled NAV updates
- BigQuery for historical fund performance analysis
- Identity Platform for investor access control
- Sample fund prospectuses and fee structures
- Synthetic investor profiles and transaction flows
- Market data feeds for asset pricing
Wire these services with the shared ledger, wallet abstraction, and chaos toggles to validate operational safety nets before pushing any mainnet change.
# analytics/fund/nav.py
def calculate_nav(assets, liabilities, outstanding_shares):
gross_asset_value = sum(asset.price * asset.quantity for asset in assets)
net_asset_value = gross_asset_value - liabilities
nav_per_share = net_asset_value / outstanding_shares
return round(nav_per_share, 6)Authentic scenario coverage
Don’t guess about bridge security. Simulate cross-chain transfers with realistic latency, finality, and failure modes. Verify that your application handles chain reorgs and dropped messages correctly.
- Multi-chain bridge simulation (EVM <-> Solana)
- Configurable finality and block time settings
- Automated dispute and fraud proof workflows
- GKE Autopilot for running chain nodes
- Pub/Sub for cross-chain message passing
- Cloud Monitoring for bridge health alerts
- Chain configuration profiles (Mainnet, Testnet)
- Bridge contract ABIs and deployment scripts
- Adversarial test vectors for security validation
Wire these services with the shared ledger, wallet abstraction, and chaos toggles to validate operational safety nets before pushing any mainnet change.
// bridge/monitor.ts
export async function handleBlock(block) {
if (isReorg(block)) {
console.warn(`Reorg detected at height ${block.height}`);
await rollbackState(block.height);
return triggerAlert('chain_reorg', block);
}
await processBlock(block);
}Authentic scenario coverage
Ensure best execution for your users. This sandbox lets you test smart order routing logic against simulated liquidity venues, accounting for gas costs, slippage, and market impact.
- Smart order router with multi-hop support
- Simulation of AMM curves (Uniswap v3, Curve)
- MEV protection and slippage control policies
- Cloud Run for high-performance routing API
- Memorystore (Redis) for caching liquidity state
- BigQuery for trade execution analysis
- Snapshot data from major DEX liquidity pools
- Gas price history for cost estimation
- Trading pair volatility profiles
Wire these services with the shared ledger, wallet abstraction, and chaos toggles to validate operational safety nets before pushing any mainnet change.
// router/optimizer.ts
export function findBestRoute(tokenIn, tokenOut, amount) {
const allRoutes = getAllPaths(tokenIn, tokenOut);
const quotes = allRoutes.map(route => getQuote(route, amount));
// Sort by output amount after fees and gas
return quotes.sort((a, b) => b.netOutput - a.netOutput)[0];
}Authentic scenario coverage
Bridge the gap between traditional finance and blockchain. Synchronize your internal SQL ledgers with on-chain events, ensuring perfect reconciliation and automated exception handling.
- Real-time ledger reconciliation engine
- Automated exception detection and routing
- Idempotent webhook delivery system
- Cloud SQL for internal ledger storage
- Cloud Functions for event processing
- Workflows for complex reconciliation sagas
- Matched and mismatched transaction sets
- Bank statement files (MT940/BAI2 formats)
- Blockchain event logs
Wire these services with the shared ledger, wallet abstraction, and chaos toggles to validate operational safety nets before pushing any mainnet change.
// settlement/recon.ts
export async function reconcile(internalTx, onChainTx) {
if (internalTx.amount !== onChainTx.amount) {
return raiseException('AMOUNT_MISMATCH', { internal: internalTx, chain: onChainTx });
}
if (internalTx.currency !== onChainTx.currency) {
return raiseException('CURRENCY_MISMATCH', { internal: internalTx, chain: onChainTx });
}
return markMatched(internalTx.id, onChainTx.hash);
}Authentic scenario coverage
Compliance isn’t optional. Test your AML and KYC flows with synthetic data. Generate SARs, simulate Travel Rule transfers, and ensure your reporting pipeline is audit-ready.
- Real-time transaction screening engine
- Automated SAR generation using GenAI
- Travel Rule protocol implementation
- Vertex AI for risk narrative generation
- Dataflow for high-volume transaction monitoring
- Secret Manager for API keys and certificates
- Sanctions lists and watchlist data
- Synthetic customer identities (KYC profiles)
- Transaction patterns indicative of money laundering
Wire these services with the shared ledger, wallet abstraction, and chaos toggles to validate operational safety nets before pushing any mainnet change.
// compliance/screening.ts
export async function screenTransaction(tx) {
const riskScore = await evaluateRisk(tx);
if (riskScore > THRESHOLD_HIGH) {
await blockTransaction(tx);
await createCase(tx, 'HIGH_RISK');
return { action: 'BLOCK', reason: 'Risk threshold exceeded' };
}
return { action: 'ALLOW' };
}Authentic scenario coverage
Stop mocking the blockchain manually. Use our pre-configured clones of major stablecoin contracts and wallet providers to test your integration logic in a controlled environment.
- Forks of USDC, USDT, and EURC contracts
- Mock APIs for custodial and MPC wallets
- Event simulation for mints, burns, and transfers
- Cloud Run for hosting mock API endpoints
- Firestore for storing mock wallet state
- Pub/Sub for broadcasting blockchain events
- Contract ABIs and bytecode
- Test wallet keys and addresses
- Sample webhook payloads for all event types
Wire these services with the shared ledger, wallet abstraction, and chaos toggles to validate operational safety nets before pushing any mainnet change.
// mocks/wallet.ts
app.post('/api/v1/sign', async (req, res) => {
const { payload, keyId } = req.body;
const signature = await mockSign(payload, keyId);
// Simulate network latency
await sleep(150);
res.json({ signature, algorithm: 'secp256k1' });
});Authentic scenario coverage
The future is autonomous. Experiment with AI agents that can manage treasury operations, monitor compliance, and optimize liquidity—all within safe, predefined guardrails.
- Framework for building autonomous financial agents
- Shared context and memory for multi-agent coordination
- Human-in-the-loop approval workflows
- Vertex AI Agents for reasoning and planning
- Firestore for agent state and memory
- Cloud Logging for full audit trails
- Agent system prompts and personas
- Operational playbooks and constraints
- Historical decision logs for training
Wire these services with the shared ledger, wallet abstraction, and chaos toggles to validate operational safety nets before pushing any mainnet change.
// agents/core/loop.ts
export async function runAgentLoop(agent) {
const state = await agent.observe();
const plan = await agent.plan(state);
if (plan.requiresApproval) {
await requestApproval(plan);
} else {
await agent.execute(plan);
}
}Shared Libraries & Components
Core libraries keep ledgers, wallets, generators, and chaos engineering consistent across every sandbox.
Ledger Core
A robust, double-entry accounting system that serves as the source of truth for all financial movements.
Wallet Connectors
Unified interfaces for interacting with various wallet types, from local dev keys to institutional MPC providers.
Data Generators
Tools to populate your sandbox with realistic, high-volume data for performance testing and demos.
Chaos Engine
Introduce controlled failures—latency, errors, downtime—to verify your system’s resilience.
Compute
Cloud Run + Docker
Stateless containers that scale to zero. No server management, just code.
Data & Messaging
AlloyDB & Pub/Sub
Postgres-compatible storage with event-driven messaging for asynchronous workflows.
Security
Secret Manager & KMS
Production-grade key management and secret storage. No hardcoded credentials.
Analytics
BigQuery & Looker
Real-time data warehousing and visualization for operational insights.
What the Agent Ships
Everything needed to run locally or deploy to Google Cloud with minimal friction and clear interfaces.
Operational Workflow
Follow the same four-step path for any sandbox to go from infra provisioning to insight generation.
Provision
Deploy the entire stack to your GCP project or local machine with a single command.
Seed
Populate the environment with realistic data to simulate a live operating state.
Simulate
Run predefined scenarios or ad-hoc tests to exercise your application logic.
Analyze
Review logs, metrics, and dashboards to gain insights and identify improvements.
Launch the Stablecoin Sandbox Suite
Deploy targeted sandboxes, run synthetic scenarios, and validate treasury, liquidity, and compliance flows before any mainnet exposure.
