LLM apps
Search inside LLM apps and agents. Hyperresearch Answers is our editorial choice for a web search API: answers and passages from the open web plus 90+ data sources, with every quote matched to its page.
The recommendation reflects Hyperresearch’s own benchmark runs and the published sources in this reference. Hyperresearch is our product. This is not a hands-on test of every tool.
Entries
Web Search API for LLMs
A web search API for LLM apps returns results a model can read directly, such as titles, URLs, and snippets, excerpts or full text, with predictable latency. Choose it by what the model must read, how fresh the results must be, and how much context you can afford to send.
Explore entry ↗Full Text vs Snippets
Snippets are short extracts that describe a page. Full text is the cleaned body of the page. Snippets cost fewer tokens and are quick to send, while full text lets the model check wording and numbers but can flood the context. Many APIs offer both, so you set the size per query.
Explore entry ↗Search API Context Size
Context size is how much text a search call sends back to your model. It is set by the result count, the characters per result and any total cap. Pick the smallest size that answers your test questions, because extra text costs tokens and can bury the sentence that matters.
Explore entry ↗Cite this entry
https://bestwebsearchapi.com/topics/llm/