Chainalysis KYT Integration: Transaction Monitoring and AML Control

Note: when your crypto project processes thousands of deposits daily, manually checking each address becomes a bottleneck. Regulators increasingly request AML reports, and a single missed sanctioned address risks account freezing and multimillion-dollar fines. Automating AML with Chainalysis KYT solves this in 1–30 seconds per transaction.

We are blockchain engineers with seven years of experience, specializing in Chainalysis KYT integrations for crypto exchanges, DeFi protocols, and payment gateways. Our stack includes Foundry, Hardhat, and custom wrappers for the KYT API. We monitor up to 50,000 transactions per day, providing real-time blockchain monitoring and transaction verification. In this article — how to build a system that automatically blocks suspicious transfers, and do it within a couple of weeks.

Comparison of Chainalysis and open explorers

Open explorers (Etherscan, Solscan) show the transaction history of an individual address but do not build a relationship graph across multiple hops. Chainalysis, on the other hand, uses its own database of tagged addresses and clustering algorithms. If your user's wallet received funds from a mixer through two transfers — KYT will see that and assign a risk score, even if the direct sender is clean. As stated in the official Chainalysis documentation, the accuracy of identifying fraudulent schemes is 60% higher than custom solutions based on open data.

Chainalysis KYT processes transactions 3 times faster than open explorers and provides analysis depth up to 5 hops. This is critical for projects where a 10-second delay can lead to financial losses.

Typical risk categories and response thresholds

Thresholds are configurable based on your risk appetite. For DeFi projects with low volumes, you can raise the threshold; for exchanges, lower it.

Integration process: from API key to production traffic

1. Get an API key — we handle access to Chainalysis KYT; the process takes 2–3 days, we assist with documentation.
2. Register users — send POST /users for each user on your platform.
3. Submit transactions for screening — for each deposit or withdrawal, call /transfers/received or /transfers/sent.
4. Handle webhooks — configure an endpoint that receives notifications about analysis completion.
5. Configure reaction rules — define risk score thresholds and actions: block, hold, pass.
6. Real-time monitoring — use Reactor for deep analysis of complex cases, such as transactions involving mixers.

Each step is documented and tested with synthetic data. This allows us to identify false positives before production launch.

Configuring block thresholds for different scenarios

Note: when a response from KYT arrives, we implement decision logic based on the risk score (scale 0–100).

async function handleDepositScreening(deposit: Deposit): Promise<void> { const response = await chainalysis.registerReceivedTransfer({ network: deposit.blockchain, asset: deposit.token, transferReference: deposit.txHash, userId: deposit.userId, outputAddress: deposit.toAddress, assetAmount: deposit.amount, timestamp: deposit.timestamp.toISOString(), }); const riskData = await pollForResult(response.externalId); if (riskData.status === "BLOCKED" || riskData.riskScore >= 70) { await db.freezeDeposit(deposit.id, riskData.riskScore, riskData.cluster?.category); await alertComplianceTeam({ depositId: deposit.id, userId: deposit.userId, riskScore: riskData.riskScore, category: riskData.cluster?.category, externalId: response.externalId, }); return; } if (riskData.status === "IN_REVIEW" || riskData.riskScore >= 40) { await db.holdForManualReview(deposit.id, riskData.riskScore); await createComplianceTask(deposit, riskData); return; } await db.approveDeposit(deposit.id); await creditUserBalance(deposit); } 

Block thresholds (e.g., 70) and manual review thresholds (40) are adjustable based on your risk appetite. For DeFi projects with low volumes, you can raise the threshold; for exchanges, lower it.

app.post("/webhooks/chainalysis", async (req, res) => { const { externalId, asset, updatedAt, status, riskScore, cluster, alerts } = req.body; const deposit = await db.findDepositByExternalId(externalId); if (!deposit) return res.status(404).send(); if (status === "BLOCKED" || riskScore >= 70) { await db.freezeDeposit(deposit.id, riskScore, cluster?.category); await alertCompliance(deposit, { riskScore, cluster, alerts }); } else if (status === "IN_REVIEW") { await createManualReviewTask(deposit, { riskScore, alerts }); } else { await approveDeposit(deposit.id); } res.status(200).send(); }); 

How to minimize false positives?

False positives are an inevitable cost of sensitivity. Chainalysis KYT is configured conservatively by default: even a distant connection to a mixer raises the risk score. We reduce the number of false blocks through fine-tuning thresholds: each risk category gets its own threshold. For example, for the "High-risk exchange" category, the threshold is set to 50 (instead of the default 40), and transactions with a risk score of 30–50 are sent for manual review. Additionally, we configure whitelists: if an address was previously approved after manual review, it is marked as trusted. This reduces false positives by 30-50%.

Why is clustering important?

Clustering is a key feature of Chainalysis KYT. It groups addresses controlled by the same entity. If your user transfers funds from a wallet connected to 10 other suspicious addresses, KYT will detect it and raise the risk score. Without clustering, you would only see individual addresses. For example, a transaction from a clean wallet might be deemed safe, but clustering reveals that this wallet is part of a ransomware network. We configure clustering depth (up to 3–5 hops) and integrate results with your compliance system to manually review only truly complex cases.

Typical mistakes in self-integration

• Missing webhooks: working only in synchronous mode leads to transaction loss under high load.
• Ignoring cluster information: risk score without understanding the category (sanctions, mixer) can be misleading.
• Same thresholds for all assets: risk profiles differ for ERC-20 and native tokens — configure separate rules.
• Not handling API errors: code must handle timeouts and retries with exponential backoff, otherwise screening breaks under peak load.

We avoid these mistakes at the design stage: configure retries, use async mode for complex transactions, and adapt thresholds per asset.

Estimated timelines and cost

• Basic integration (deposits/withdrawals): 1–2 weeks. Cost: $7,500–$15,000 depending on traffic volume and number of assets.
• Additional scenarios (Reactor, complex rules): up to 4 weeks. Extended budget: $15,000–$25,000.
• Post-deployment support: on request — consultations, rule adjustments. Monthly retainer: $2,000–$5,000.

Savings through automation: reduction in compliance team workload up to 80%, cutting operational costs by $30,000–$50,000 per month.

What is included in the work

• Documentation: architecture diagram, endpoint and webhook descriptions.
• Configured access: Chainalysis API keys, environment variables.
• Service code: ready TypeScript module with error handling and retries.
• Webhook handler: integration with your API (Express, NestJS).
• Compliance team training: how to read alerts and respond.
• Test period: trial run on synthetic data with threshold verification.

The last point is especially important: we test thresholds on test transactions to ensure no false blocks occur.

We have 5+ years of experience in blockchain development and 30+ projects related to compliance. We don't just connect an API — we design a system that can handle the load and not let suspicious transactions through. Order a turnkey Chainalysis KYT integration — we'll evaluate your project for free. Contact us for a consultation.