Search the web and get LLM-ready Markdown. Each result has its title, URL and only the passages relevant to the query (cross-encoder pruned context), so it costs far fewer tokens than raw pages. Use for current events, documentation, APIs, research and fact checking.

Fetch a public web page (docs, articles, GitHub files, arXiv papers) as clean Markdown with tables preserved. Pass query to get only the passages relevant to it instead of the whole page.

Find pages similar to a given URL (alternatives, related docs, competing libraries), excluding the source domain. Returns titles, URLs and the most relevant passages as Markdown.

Research a question in one call, server-side: runs up to 5 web searches (sub-queries) concurrently, dedupes the pages by URL, ranks them all against the question with a cross-encoder and returns one Markdown evidence pack with numbered [n] sources and their query-pruned passages, quoted verbatim (no generated text). Costs 1 credit per sub-query. Pass your own sub_queries (distinct angles on the question) for better coverage. If omitted they are derived from query: the query itself, query + "documentation", and query + "benchmark" when it asks about speed, performance or comparisons, else query + "example" (a suffix the query already contains is skipped).

Same as contextfetch_research (kept for existing setups): up to 3 sub-queries run server-side, sources deduped and ranked against the question, one Markdown evidence pack with numbered sources and query-pruned passages. Each sub-query is one search and costs 1 credit. You SHOULD pass your own sub_queries (up to 3 distinct angles on the question) for better coverage. If omitted they are derived from query: the query itself, query + "documentation", and query + "benchmark" when it asks about speed, performance or comparisons, else query + "example" (a suffix the query already contains is skipped).

Answer a question with passages quoted verbatim from the web, never generated: searches, scores every passage of the top pages with a cross-encoder and returns the best ones with [n] citations to their sources. Use it for quick factual lookups; the quotes may not fully answer an open-ended question. Costs 1 credit.

Crawl one website from a start URL and get its pages as Markdown: same-site links only, up to max_depth hops (<= 3) and limit pages (<= 50), robots.txt obeyed. Pass query to rank the pages by relevance and return only their relevant passages. Costs 1 credit per page returned.

List a website's URLs without fetching its pages: its sitemaps (from robots.txt, else /sitemap.xml) plus the start page's links, same site only, up to limit (<= 5,000). Use it to find the right pages before contextfetch_extract_url or contextfetch_crawl. Costs 1 credit.

Show the API key's remaining credits, daily burn rate (7-day average) and auto-reload settings, including the last auto-reload error if a payment failed. Needs CONTEXTFETCH_API_KEY; free. Check it before long jobs.

Turn auto-reload on or off, or change it: when credits drop below threshold, the saved card buys pack again, up to monthly_max_usd per month. Needs CONTEXTFETCH_API_KEY and a card saved at checkout. The monthly cap cannot be raised above $500 here.

Get a free ContextFetch API key with 2,500 searches (one per network, no sign-up). This session uses it right away; give it to your user so they can set CONTEXTFETCH_API_KEY to keep it.