API & Quota Intelligence Accelerator

A suite of analytics accelerators for Apigee to track quota utilization, consumer behavior, and tier-based traffic patterns.

The Problem

Platform teams lacked granular visibility into API consumption behaviors, making quota management and monetization modeling difficult.

Why Traditional Systems Failed

Default API gateway analytics often aggregate data too heavily, missing the consumer-specific nuances required for strict governance and tier-based monetization strategies.

AI-Driven Approach

Developed custom analytics plugins and dashboards extracting detailed dimensions from API traffic. The solution focuses on "Quota Intelligence"—predicting exhaustion events and identifying under-utilized allocations. Integrated directly with Apigee analytics APIs (running on GCP) to visualize traffic against contract limits.

High-Level Architecture

[Architecture Diagram Placeholder]
Flow: Data Ingestion → Vector Embedding → LLM Router → Response Synthesis

*Detailed interaction diagrams available upon request during interview.

Business Value

Enabled precise capacity planning and empowered product owners to define data-driven API monetization tiers.

Key Learnings

✓Visualizing "almost breached" quotas is more valuable than reporting on past breaches.
✓Consumer behavior analysis is critical for distinguishing between organic growth and inefficient polling patterns.
✓Governance tools must be transparent to the consumer to encourage self-correction.