Loci Fraud API Products
Explainable Intelligence for Modern Fraud Defense
Loci is a real-time fraud and risk intelligence platform built for financial institutions. We combine transaction monitoring, behavioral analytics, network intelligence, and sanctions screening into a single, explainable system that delivers sub-200ms decisions.
Why Loci?
Traditional fraud systems force a painful choice: static rules that can't adapt, or black-box AI that can't explain itself. Loci offers a third way.
| Challenge | Legacy Approach | Loci Approach |
|---|---|---|
| Speed | Batch processing, seconds to minutes | Real-time, sub-200ms |
| Explainability | Opaque ML scores | Full decision lineage |
| Adaptability | Weeks to deploy new rules | Minutes with no-code tools |
| Compliance | Manual audit trails | Built-in regulatory alignment |
The Loci Platform
Core Products
Transaction Monitoring
Real-time fraud detection with MADIE
Score every transaction in under 200ms using composable fraud rules. Detect velocity anomalies, amount deviations, and complex patterns like smurfing and mule networks.
- Sub-200ms decision latency
- Weighted, multi-signal scoring
- Full audit trail for every decision
AccessGate
Continuous authentication & behavioral biometrics
Verify user identity throughout the sessionβnot just at login. Detect account takeover by analyzing typing patterns, mouse movements, and device behavior.
- Zero-friction user experience
- Bot and automation detection
- Impossible travel alerts
AccessGate AML
Sanctions screening & relationship intelligence
Screen entities against global sanctions lists with fuzzy matching that catches evasion attempts. Map beneficial ownership and detect hidden relationships.
- OFAC, UN, EU, and 200+ watchlists
- Fuzzy name matching (transliteration, aliases)
- Relationship graph extraction
Loci Studio
No-code compliance workspace
Write fraud rules in plain English. Test against historical data. Deploy to production in minutes. All without writing code.
- Natural language rule creation
- Visual rule builder
- Shadow mode testing
Autographer (Enterprise)
AI-powered pattern discovery
Automatically discover emerging fraud patterns from your transaction data. Autographer mines historical logs to surface anomalies that manual rule-writing would missβthen generates FLM specifications ready for deployment.
- Label-free anomaly detection
- Automatic FLM rule generation
- Managed service with Loci team support
The Loci Flywheel
When used together, Loci's products create a self-reinforcing intelligence loop:

How it works:
- Call centrality first β Get the entity's network position before evaluating
- Submit transaction β MADIE evaluates with network context
- Graph updates β Transaction stored, entity relationships learned
- Better next score β Next centrality call has more data
This flywheel means your fraud detection improves automatically with every transactionβno retraining, no manual tuning.
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β Your Systems ββββββΆβ Loci API ββββββΆβ Decision β
β (CBS, Mobile, β β Gateway β β + Reasons β
β Card Rails) β β β β β
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β
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βΌ βΌ βΌ
ββββββββββββ ββββββββββββ ββββββββββββ
β MADIE β β Access β β Graph β
β Engine β β Gate β β Analyticsβ
ββββββββββββ ββββββββββββ ββββββββββββ
1. Ingest
Send transactions, events, or entity data via REST API. Loci accepts data from any sourceβcore banking, mobile apps, card switches, or third-party systems.
2. Evaluate
The MADIE engine evaluates your data against all active rules in parallel. Each rule contributes a weighted score based on the signals it detects.
3. Decide
Loci returns a decision (approve, review, or decline) with a risk score and full explanation of which rules fired and why.
4. Act
Integrate the decision into your workflow. Block high-risk transactions, route medium-risk to review queues, and let low-risk flow through.
Key Capabilities
Fraud Language Models (FLM)
FLM is our domain-specific language for expressing fraud detection logic. Unlike rigid if-then rules, FLMs use weighted evaluations that accumulate evidence across multiple signals.
# Example: Detect potential structuring
name: structuring_detection
description: Flag transactions that may be splitting large sums
evaluations:
- name: velocity_check
weight: 4
# Multiple transfers in short window
- name: amount_similarity
weight: 5
# Transfer amounts suspiciously uniform
- name: aggregate_threshold
weight: 3
# Total approaches reporting limits
threshold: 0.6
Network Intelligence
Loci builds a real-time graph of transaction relationships. This enables detection of:
- Mule networks: Accounts receiving and dispersing funds rapidly
- Fraud rings: Coordinated activity across multiple accounts
- Hub entities: Central nodes connecting suspicious actors
Adaptive Calibration
Loci automatically calibrates scoring thresholds based on your actual fraud dataβnot just flagged transactions. This prevents the "death spiral" where false positives contaminate your baselines.
Integration
REST API
curl -X POST https://api.runloci.com/v1/transaction/{orgId} \
-H "x-org-id: your_org_id" \
-H "x-api-key: your_api_key" \
-H "Content-Type: application/json" \
-d '{
"transaction_id": "TXN-12345",
"entity_id": "CUST-001",
"amount": 50000,
"currency": "NGN",
"transaction_type": "TRANSFER",
"beneficiary_account_number": "1234567890"
}'
Response
{
"success": true,
"decision": "review",
"fraud_score": 67,
"explanations": [
{
"rule": "velocity_breach",
"weight": 4,
"description": "8 transactions in last hour exceeds threshold of 5"
},
{
"rule": "new_beneficiary",
"weight": 2,
"description": "First transfer to this beneficiary"
}
]
}
Compliance & Security
Regulatory Alignment
Loci is designed to meet the explainability requirements of:
- EU AI Act: Full decision lineage and human oversight
- US Model Risk Management (SR 11-7): Auditable, documented decisions
- African Central Bank Guidelines: Real-time monitoring with clear escalation
Data Security
- End-to-end encryption (TLS 1.3)
- Data residency options (EU, US, Africa)
- GDPR/NDPR-compliant data handling
Getting Started
1. Get API Credentials
Contact [email protected] to set up your sandbox environment.
2. Explore the Sandbox
Test API endpoints with sample data. No production impact.
3. Configure Rules
Use Loci Studio to create or customize fraud rules for your use case.
4. Shadow Mode
Deploy rules in shadow mode to measure performance before going live.
5. Go Live
Switch to production with confidence.
Choosing the Right Product
"I need to detect fraudulent transactions" β Start with Transaction Monitoring
"I need to prevent account takeover" β Start with AccessGate
"I need sanctions screening with relationship intelligence" β Start with AccessGate AML
"I need comprehensive protection" β Use all three. They share intelligence automatically.
