Shift-Left API Logic & Business Rules Verification in Microservice Architecture

A fast-growing SaaS enterprise operating 40+ microservices communicating via REST and GraphQL APIs.

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

Testing microservice business logic relied on slow end-to-end UI automation tests that broke frequently.
Integration defects between microservices were caught late in staging environments, causing expensive sprint delays.
Developers lacked automated tools to generate complex multi-step API test sequences.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

scroll →

Pariksha parses microservice API documentation, inferring data models, parameters, and authentication rules.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

Integration defects caught 5x earlier during local PR builds rather than staging.
API test execution time cut from 45 minutes to 90 seconds per build gate.
Eliminated breaking API contract changes across all 40 microservices.

Capabilities this relies on

Related catalog agents