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Snipex turns a plain text query into ranked, verbatim relevant passages in a single API call. Here’s what happens internally:

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The pipeline

1

Web search

Snipex searches the web for your query, applying any filters you’ve specified — recency, language, domain allow/block lists — and retrieves the top-ranked pages.
2

Content retrieval

For each result, Snipex fetches the full page content. This is the raw material for extraction — not just the short meta description you’d get from a typical search API.
3

Snippet extraction

Our extraction engine analyzes the full page content against your query and identifies the passages that are most relevant. These are verbatim excerpts — nothing is paraphrased or synthesized.
4

Ranking and scoring

Each snippet is scored for relevance to your query (0.0–1.0). Results are ranked by source quality; snippets within each result are ordered by relevance score.

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What you get back

For each search result, you receive:
  • The URL and title of the source page
  • A list of snippets — verbatim passages from that page, each with a relevance score
  • Optional metadata: publish_date, last_updated
  • A warning field if extraction partially failed for that result

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Grounded in source content

Every snippet is a verbatim quote from the original page. Snipex does not synthesize, summarize, or generate content. If a passage appears in the response, it exists word-for-word in the source. This makes Snipex suitable for applications that require attribution, citation, or factual grounding.