Platform Live v2.0

Test Your API Reliability Before Production.

Simulate failures, stress test endpoints, and analyze system behavior with AI-powered insights.

The Problem

APIs fail.
Are you ready when they do?

Network latency, third-party downtimes, and unexpected traffic spikes cause cascading failures in modern microservices. You can't rely on hoping things just work.

Timeouts & Latency

Requests backing up and eating memory limits.

Failed Requests

5xx errors multiplying quickly across dependent services.

Unpredictable Retry Loops

Accidentally ddosing your own infrastructure.

Scenario Builder

Reliability Test Scenario

API Endpoint
POST/billing/charge
Failure Simulation
  • 20% Timeout Injection
  • 15% Internal Server Errors
  • Network Latency: +400ms
Traffic Load
500 requests / second
Simulation Duration
10 minutes
Workflow

How It Works

Bridge the gap between development and production reliability. Test with confidence before every deployment.

01
Step 01

Configure Scenario

Define your API endpoint, set the expected latency threshold, and choose your failure injection rate.

02
Step 02

Execute Simulation

Our engine performs real-world stress testing, injecting faults and measuring performance in real-time.

03
Step 03

Analyze Insights

Receive deep-dive reports on how your system degrades. Identify single points of failure instantly.

Failure Simulation

Inject faults safely into your API endpoints to see how your system reacts to real-world outages.

Load Testing Engine

Stress test endpoints to uncover bottlenecks and scale limits before your users do.

AI Log Diagnostics

Connect your logs and let our AI core detect anomalies, predict failures, and suggest fixes.

Reliability Metrics

Track latency distribution, retry patterns, and error rates in real-time dashboards.

Developer Focused

Use Cases

Microservices Stress

Stress test internal endpoints and downstream dependencies.

CASE #101

Vulnerability Scanning

Identify potential security leaks during reliability simulations.

CASE #102

Global Performance

Simulate worldwide latency for globally distributed systems.

CASE #103

CI/CD Gatekeeping

Run reliability tests as part of your deployment pipelines.

CASE #104

Compute-Intensive API

Monitor CPU usage vs performance under fault injection.

CASE #105

API Gateway Testing

Ensure your gateways handle high error rates gracefully.

CASE #106

See the invisible.

Identify failures precisely at the moment they occur.

Latency Distribution (ms)

Error Rate & Retries

AI Insight Engine

Critical Issue: Latency spikes detected above 800ms during peak load at 10:15.

Recommended Action: Consider implementing exponential backoff retries and adding circuit breakers to downstream service requests to prevent resource exhaustion.

API Documentation

Built for Engineers.
Integrated in minutes.

A simple, secure REST API to simulate high-load scenarios globally — no agents, no SDK overhead. Integrate reliability assertions directly into your CI/CD pipelines.

API v2.0
CLI Available
POST /api/simulate
curl -X POST https://airlb.ai/api/simulate \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "endpoint": "https://api.yourlab.com/v1/auth",
    "failureRate": 25,
    "latency": 500
  }'
Pricing tailored for developers in India

Pricing built for scale.

Transparent pricing that scales with your infrastructure needs. No hidden fees.

Free

Perfect for individual developers establishing baselines.
₹0/mo
Get Started
Basic API testing
Limited requests (1000 per month)
Community support
Most Popular

Developer

Advanced simulation tools for serious engineering projects.
₹499/mo
Subscribe Now
Advanced failure simulation
Load testing support
API reliability insights
Increased request limits

Team

Unlimited capacity and collaboration for engineering teams.
₹1499/mo
Subscribe Now
Unlimited test scenarios
Team collaboration
Advanced analytics dashboard
Priority support

Build Reliable APIs
With Confidence.

Join thousands of engineers who trust API Reliability Lab to uncover hidden flaws before they hit production.