Linkup API exposes web search, page fetching, and deeper research modes for AI applications. Strawberry helps engineers and product teams inspect those requests in context before they turn them into product behaviour.
Use it to compare endpoint outputs, review source quality and latency trade-offs, prepare implementation notes, and keep API-key or production changes deliberate.
01
Choose the endpoint for the job, not the most impressive demo.
Search, page retrieval, and longer research requests have different output shapes and timing.
Strawberry can read the Linkup API documentation and your product brief together, then make the selection criteria visible to the person implementing it.
02
Inspect sourced output before it becomes application context.
An API response can be well formed while its sources are stale, incomplete, or poorly matched to the requested domain. Strawberry can compare the returned citations and snippets with the question the application was trying to answer, then identify what deserves a closer read.
03
Turn documentation into an implementation handoff.
Engineers need more than a copied request example: they need assumptions about inputs, failure cases, cost boundaries, and how the result is shown to a user. Strawberry can draft that handoff from the API docs and the architecture materials you open.
04
Review API changes before they surprise a production workflow.
A Linkup API documentation-review skill can track the endpoints and assumptions your project actually uses. A weekly Wednesday routine fits a normal engineering review cycle and produces a private summary, leaving SDK upgrades, request-shape changes, and key rotation as explicit human decisions.
Linkup API Strawberry