Features

Real-time Data Scoring

Our scoring engine combines third-party signals from multiple sources into enriched risk profiles in near real-time.

✓ Multi-source data aggregation
✓ Machine learning risk models
✓ Continuous score updates
✓ Customizable scoring rules

Compliance-Friendly Integration

GDPR-by-design pipelines with EU-based storage and audit trail access. Privacy is a starting point, not an afterthought.

✓ GDPR by design
✓ EU data residency
✓ Audit trails
✓ Configurable data retention

Lead Validation & TrustGraph

Use our TrustGraph API to help filter spam, fraud and low-intent signups, with scoring that improves as our models learn.

✓ Spam detection algorithms
✓ Fraud pattern recognition
✓ Behavioral analysis
✓ Intent scoring models

Developer-First API

Connect DataTrustly to your backend with a clean REST API and SDKs for Node.js and Python, with more on the way.

✓ RESTful API
✓ Webhook integrations
✓ Node.js & Python SDKs
✓ Docs we keep current

Under the Hood

The building blocks of the platform — and where we're headed

Built to Scale

Running on reliable EU cloud infrastructure, designed to scale out as we grow.

Models That Learn

Scoring that improves over time as our models learn from real signals — no inflated data-volume claims.

Encrypted by Default

Your data is encrypted in transit and at rest using standard, proven cryptography.

Analytics Dashboard

Visualize your data flows, scoring patterns and compliance metrics in one place.

Fits Your Stack

Webhooks and a REST API make DataTrustly easy to plug in. Native integrations are on our roadmap.

Historical Analysis

Query your historical scores and spot trends over time with built-in time-series analysis.

Simple Integration

Get started in minutes with our developer-friendly API

// Node.js Example
const DataTrustly = require('@datatrustly/sdk');

const client = new DataTrustly({
  apiKey: process.env.DATATRUSTLY_API_KEY
});

// Score a user in real-time
const result = await client.score({
  email: 'user@example.com',
  ip: '192.168.1.1',
  metadata: { source: 'signup' }
});

console.log(result.trustScore); // 0.92
console.log(result.riskLevel);  // 'low'
console.log(result.signals);    // detailed insights

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Use Cases

Where DataTrustly can help across industries

E-commerce

Flag risky transactions and cut down on chargebacks with real-time scoring at checkout.

SaaS Platforms

Filter low-quality leads and focus sales efforts on high-intent prospects with behavioral analysis.

Financial Services

Comply with KYC/AML regulations while maintaining seamless user onboarding experiences.

Marketplaces

Verify seller and buyer identities to create safe, trustworthy marketplace ecosystems.