API Pagination

Overview

API Pagination is the method an API uses to divide a large result set into smaller pages that clients retrieve over multiple requests. It is used to control response size, latency, resource use, and resumable data access. It differs from filtering or sorting, which changes which records qualify or their order rather than splitting the result.

A typical implementation works as follows: The client sends a page size with a cursor, token, offset, or continuation value and follows the returned next-page reference until complete. The API Pagination owner should publish stable error semantics and guidance on whether correction, retry, status lookup, or escalation is appropriate.

Common risks include offset drift and duplicated or missing records. Important failure modes include offset drift, duplicated or missing records, unstable ordering, expired cursors, and unbounded page sizes. These failures can corrupt synchronization. Changes to API Pagination should be checked against older clients, stored payloads, enum growth, default behavior, and retry assumptions.

Core controls require teams to use stable ordering, opaque cursors, bounded limits, clear termination, duplicate-safe consumers, and documented consistency behavior. For API Pagination, the application should preserve a correlation path from request construction through response, asynchronous completion, and final business state.

Operational evidence should include page token, page size, item count, query filters, first and last identifiers, request time, and completion state. API Pagination should be documented alongside API Response Envelope, API Query, and API Performance.

Testing API Pagination should cover malformed input, denied access, rate limits, timeouts, duplicates, asynchronous completion, and version changes.