MaiGuard Developer Documentation
Everything you need to integrate real-time fraud protection into your application — from first API call to production rollout.
Getting Started
Setup checklist, quick start, authentication, and your first API call.
5 guides →API Reference
Every endpoint, request schema, response object, and error code.
24 endpoints →MaiGuard Unified SDK
One package for telemetry, scoring, Verify, MaiGuard ID and Chain, with browser and server examples.
6 entry points →JavaScript SDK
Browser SDK for behavioral biometrics, device fingerprinting, and scoring.
12 methods →MaiGuard Sentinel
Real-time fraud & AML scoring — the scoring pipeline, shadow mode, entity graph, behavioral biometrics, device intelligence, AML rules, and rule setup.
10 topics →MaiGuard Assist
Natural-language transaction lookups, anomaly explanations, and policy Q&A in the dashboard.
7 topics →MaiGuard Verify
Identity verification API — BVN, NIN, CAC, AML, and biometric checks with confidence scoring and consent capture.
12 topics →MaiGuard Chain
Merchant wallet and crypto transaction screening, Sentinel decisions, monitoring, and signed risk-change events.
10 topics →MaiGuard ID
“Continue with MaiGuard ID” — OpenID Connect SSO plus a consent API to read verified business attributes, people, and documents.
12 topics →MaiGuard Resolve
Financial crime operations — investigate fraud and AML alerts, work the review queue, document decisions, manage regulatory filings, and keep an audit-ready trail.
8 topics →Platform Guides
Step-by-step guides for connecting data, setting up rules, reviewing cases, and managing your account.
19 guides →Glossary
Definitions for scoring, AML, biometrics, and decision states used across the platform.
10 terms →Release Notes
API updates, new features, SDK changes, and documentation improvements.
Release notes →Popular Pages
Recent Changes
Screen wallets and crypto transactions, or get the full Chain assessment and a Sentinel decision in one request.
Web and React Native integration guides, with complete examples and liveness setup.
A shared risk model across Verify and customer profiles, with missing evidence clearly identified.