Platform Capabilities

Ten Capabilities.
One Continuous Trust Layer.

Apiezy validates your APIs as a connected system — not just isolated endpoints. From discovery to logic abuse detection, every capability works together before production.

Auto-Discovery
Workflow Modeling
Stateful Testing
Logic Abuse Detection
Risk Grading
Flight Recorder™
AI-Native (MCP)
CI/CD Integration
01
Discovery
Auto-Discover APIs

REST + GraphQL. No specification required. Continuous auto inventory with change tracking and automatic OpenAPI generation. Surfaces shadow APIs, partner routes, and bootstrap endpoints beyond documented specs.

📡
GET /users/{id}
→
POST /auth/token
PUT /orders/{id}/status
→
DELETE /cart/{id}
GET /admin/debug ⚠ shadow
47 APIs discovered · 3 shadow endpoints flagged
🔗
02
Intelligence
Model Workflows & Dependencies

API-to-API relationships, session and state transitions, data propagation, authorization boundaries, and business flow sequencing — mapped automatically with no manual configuration.

03
Testing
Generate Stateful Tests

CRUD + regression, multi-step workflow scenarios, OWASP API Top 10 aligned, GraphQL schema and resolver validation. Tests self-heal as APIs evolve — no manual test maintenance required.

// Stateful test: guest checkout IDOR
sequence: [
  { "POST /checkout/guest", user: A },
  { "GET /orders/{id}", user: B },
  { "ownership": assert_fail }
]
// → IDOR VULNERABILITY DETECTED ⚠️
Logic Abuse Signals — Last 24H
BOLA Replay Skip-Step Token Drift GraphQL Depth Reward Loop
04
Detection
Detect Logic Abuse & Fraud

Skip-step bypass, coupon/reward stacking, cross-account flaws, token misbinding, GraphQL depth abuse, and composite data leakage — detected before production with patent-pending ML models running entirely on your premises.

05
Risk
Continuous Risk Grading

CVSS/CWE-aligned per-service risk scoring with release-over-release posture tracking. Every service gets a live score — drift is caught before it ships.

📊
Per-Service CVSS Score — Current Build
Release-over-release posture tracking active
🤖
06
AI-Native
AI-Native via MCP

Connect validation results directly into your IDE and AI assistants for inline remediation guidance. Apiezy speaks MCP — fixing issues where you already work.

Additional Capabilities

Everything Else in the Trust Layer

Continuous Risk GradingCVSS/CWE-aligned per-service risk scoring with release-over-release posture tracking
Application Flight Recorder™Full microservice trace, payload visibility, and reproducible context for every incident
AI-Native via MCPConnect validation results into IDE and AI assistants for inline remediation guidance
CI/CD Pipeline IntegrationAutomated trust grading gates that fit directly into your existing release pipeline
GraphQL Resolver ValidationField-level and cross-role authorization testing — not just schema conformance
On-Prem & Hybrid DeploymentPatent-pending ML runs entirely on your premises — zero data leaves your perimeter
Auto-Healing Test SuitesTests update automatically as APIs evolve — no manual maintenance required
Multi-Step Exploit ChainsComposite fraud workflow detection across chained API calls and services
Release Regression Tracking Authorization behavior compared build-to-build — drift caught before deployment
Datasets: High-Velocity, Zero-Code Regression Testing Mass-scale API validation using real-world edge cases — separating test logic from test data for faster, scalable security regression testing

See Every Capability
Live in 30 Minutes

Watch Apiezy discover shadow APIs, model your workflows, and catch logic abuse — all before a single line hits production.

Request a Demo Explore Use Cases