API ↔ fixture
Call REST, GraphQL, or SOAP and compare the response to a golden fixture after normalization.
Snapline
Declarative snapshot and reconciliation testing for APIs, databases, and async workflows — with an optional Hub for shared test history.
Product
Integration tests often devolve into brittle field assertions. Snapline flips the model: declare a golden snapshot and reconciliation rules as data. The framework handles HTTP, auth, database queries, deep comparison, and structured diffs. Snapline Hub adds an optional dashboard when your team needs centralized run history.
Use cases
Snapline covers the cross-system checks that brittle assert soup usually fails to maintain.
Call REST, GraphQL, or SOAP and compare the response to a golden fixture after normalization.
Query two databases — SQL or document stores — and reconcile rows with structured diffs.
Verify an API payload matches a database row, or drive an API call from live data.
Publish to a message queue, then poll SQL or the filesystem for async results.
Reconciliation
Every comparison runs the same pipeline on live data before deep compare: ignore volatile fields, normalize dynamic values, map cross-system codes, then produce structured field-path diffs.
01
Ignore volatile fields
02
Normalize dynamic values
03
Map cross-system codes
04
Deep compare
Platform
Compose the pieces you need — from core orchestration to optional Hub reporting.
Snapline Hub
Snapline Hub stores and visualizes test run reports. It is optional — use it when you want a shared dashboard for pass rates, history, and structured diffs across Node.js and Python runs.
Next steps
Also from VaagaTech
Tell us about your APIs, data stores, and CI — we’ll help you scope Snapline.