Map every signal behind every merchant.
LANTIRN is a merchant relationship intelligence platform. We map the hidden connections between merchants, storefronts, checkout infrastructure, JavaScript behavior, and fraud signals — so risky commerce networks become visible before losses happen.
From a single domain to the entire merchant network.
Six stages, continuously running in the background, turn raw merchant data into an explainable trust signal you can act on.
- 01
Merchant Discovery
LANTIRN ingests merchant domains, storefronts, URLs, payment flows, and customer-submitted targets to seed every investigation.
- 02
Storefront Fingerprinting
We extract storefront structure, technologies, templates, analytics IDs, JavaScript, product patterns, policy text, and infrastructure signals.
- 03
Checkout & JavaScript Analysis
LANTIRN analyzes checkout behavior, third-party scripts, payment-field access, redirect behavior, tracking widgets, and suspicious JavaScript reuse.
- 04
Relationship Graph
Every artifact becomes a graph entity: shared analytics IDs, shared scripts, shared infrastructure, related merchants, similar storefronts, operational overlap.
- 05
Risk Scoring
Merchants are scored on graph proximity, storefront behavior, checkout integrity, infrastructure overlap, dispute signals, and known fraud patterns.
- 06
Explainable Intelligence
Every score includes the evidence: which artifacts matched, which clusters they belong to, and exactly why a merchant appears risky.
The relationship layer behind every storefront.
Fraudulent merchants reuse infrastructure the same way botnets reuse servers. LANTIRN turns shared scripts, analytics IDs, hosting, and templates into a living graph of merchant relationships.
- Shared analytics, tag manager, and pixel IDs
- Reused checkout wrappers and JavaScript bundles
- Overlapping IPs, ASNs, registrars, and certificates
- Cross-merchant content, policy, and product reuse
Merchant relationship graph
Force-directed graph with cluster highlights
Drop image here
Storefront fingerprint diff
Side-by-side similarity match between two stores
Drop image here
A signature for every storefront on the internet.
We continuously crawl and fingerprint commerce surfaces — themes, templates, embedded scripts, product catalogs, and policy text — so two stores running the same playbook can never hide.
- Storefront structure, themes, and template fingerprints
- JavaScript and analytics ID extraction
- Product catalog and policy similarity
- Infrastructure, hosting, and SSL fingerprints
See exactly what runs at checkout — and who's behind it.
Modern checkout fraud is JavaScript fraud. LANTIRN evaluates every script that loads on a checkout page, classifies its behavior, and ties it back to the operator that deployed it across the merchant graph.
Script behavior analysis
Static and runtime evaluation of every script that touches the checkout DOM.
Payment-field access tracking
We watch every actor that reads card or wallet inputs — including new ones that show up overnight.
Redirect and skim detection
Off-domain redirects, hidden iframes, and suspicious post-targets surface as first-class signals.
Explainable risk for every merchant.
Merchant authenticity scores grounded in graph proximity, storefront behavior, checkout integrity, and known-bad infrastructure overlap — every score backed by the exact evidence that produced it.
- Authenticity score from 0 to 100
- Per-signal contribution breakdown
- Cluster context and historical drift
- Direct links to source artifacts
Risk score breakdown
Score card with per-signal contribution bars
Drop image here
Cluster investigation view
Investigation case with attached merchants and evidence
Drop image here
Investigate clusters, not just merchants.
Pivot from any merchant into the surrounding graph: related storefronts, shared scripts, repeat offenders, and known fraud rings. Build cases your fraud and trust teams can actually act on.
- Saved investigations and shared workspaces
- Cluster timelines and drift over time
- Annotations and evidence attachments
- One-click export to your case-management tool
Risk signals on demand for any merchant.
Wire LANTIRN into the underwriting, onboarding, or transaction flow you already run. Get an authenticity score, the top contributing signals, and the cluster context — under one second.
- JSON, gRPC, and webhook delivery
- Per-signal contribution and evidence
- Cluster proximity and drift over time
- Customer-managed quotas and burst limits
GET /v1/merchants/cool-sneakers-store.com
Authorization: Bearer lant_live_xxx
200 OK
{
"domain": "cool-sneakers-store.com",
"authenticity_score": 8,
"risk_band": "high",
"top_signals": [
"suspicious_javascript",
"checkout_redirect",
"abuse_cluster"
],
"cluster": {
"id": "clst_3F9x2",
"size": 23,
"first_seen": "2024-04-28"
},
"evidence_url": "https://app.lantirn.com/m/.../"
}Try LANTIRN in your browser, no account needed.
Drop in any merchant URL and get the same top risk signals our enterprise customers see, powered by the public side of the LANTIRN graph.
Bring trust to every merchant on your platform.
Pilot LANTIRN against your portfolio in under two weeks. We'll bring the graph; you'll bring the merchants you've always wondered about.
