API Automation Framework for Trade Finance
1000+ banking API endpoints automated with Postman and Newman, cutting defect leakage by 80%.
1000+
API endpoints automated
80%
reduction in defect leakage
30%
faster release cycles
Problem statement
A trade finance platform serving Tier-1 banks shipped API changes weekly across 1000+ endpoints. Manual regression couldn't keep pace: defects leaked into UAT and, occasionally, production. In banking, every leaked defect is a conversation with a customer's compliance team.
The goal: full regression coverage of the API surface, running automatically on every build, with reporting that a release manager could read in 2 minutes.
Architecture
Postman collections organized by business domain (document examination, compliance screening, trade workflows), with environment files per deployment stage. Newman executed the collections headlessly inside the CI pipeline.
A shared library of pre-request scripts handled auth token lifecycle, test data seeding and dynamic chaining of request payloads. Assertions covered status codes, JSON schema, business field validation and response-time budgets.
Results published as HTML and JUnit reports into Azure DevOps, with failures gating the release pipeline. No green run, no deploy.
Challenges
Test data was the hardest problem. Trade finance documents have deep interdependencies (an LC amendment needs an LC, which needs parties, limits and sanctions clearance). The fix: a seeding layer that builds the full object graph through the APIs themselves before each suite runs.
Auth tokens expired mid-suite on long runs. A collection-level pre-request hook now refreshes tokens transparently, so individual requests never deal with auth at all.
Results
Defect leakage dropped 80% within two quarters. Regression that took a team 4 days runs in under 40 minutes on every build. Release cycles shortened by 30% because sign-off became a report review instead of a test campaign.
Lessons learned
Schema validation catches a class of bugs functional assertions miss, especially contract drift between microservices. Build it in from day one.
Treat collections like code: version control, code review, naming conventions. A 1000+ -endpoint suite without discipline becomes unmaintainable in months.
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