SERPdive Web Search
serpdive_searchSearch the live web and return page content with extracted text, ready for LLM use. Supports concise key sentences or full page text for fact-checking and research.
Instructions
Search the live web and get back answer-ready page content, not a list of links. Each result carries the actual text of the page (url, title, date, content), already extracted, cleaned and trimmed for LLM use, so facts can be quoted and cited straight from the response. Use it for anything that needs current or post-training information: news, prices, releases, docs, sports, niche facts. Write the query the way a person would type it, in any language: localization is automatic. The 'mako' model (default) returns the fact-carrying sentences of each page, fast and concise, right for most questions. The 'krill' model is free and unlimited under fair use: the shortest useful answer set (~700 tokens, fewer sources, no written answer), served at low priority — right when token budget matters more than depth. The 'moby' model returns full page text: slower (~1s more) and several times more tokens, so use it only when mako's key sentences are insufficient (long-document analysis, deep research).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| model | No | 'mako' (default): the key sentences of each page, concise and fast. 'krill': free and unlimited under fair use — the shortest useful set (~700 tokens, fewer sources, no written answer), at low priority. 'moby': full page text — slower (~1s more) and returns several times more tokens; use only when mako's key sentences are insufficient (long-document analysis, deep research). | |
| query | Yes | The search query, in any language, phrased like a real web search. | |
| max_results | No | Maximum number of results to return (1 to 10). Omit to let the engine pick its calibrated mix. |