How to build a backend response pipeline that detects client network conditions via request metadata, then progressively degrades JSON payload fidelity—dropping non-critical fields, switching from full objects to ID-only references, and compressing embedded assets—without changing the API contract. Covers Ktor middleware for response shaping, client-side bandwidth estimation using timing headers, and the priority-field annotation pattern that lets you define degradation tiers in your data models.
title: "Adaptive API Payloads for Mobile Under Network Pressure"
published: true
description: "Build a Ktor middleware pipeline that detects client bandwidth and progressively degrades JSON payload fidelity without changing your API contract."
tags: kotlin, mobile, api, architecture
canonical_url: https://mvpfactory.co/blog/adaptive-api-payloads-mobile-network-pressure
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