Examples →

Fetch a news article for an AI agent

News sites are nav-heavy and full of ads. Local extractors miss or duplicate content. AgentFetch routes news domains through Jina Reader, which has been tuned specifically for article extraction — returns just the article body with author, publish date, and language metadata.

Try it

Get a free key at agentfetch.dev (500 free fetches/mo, no credit card).

curl -X POST https://api.agentfetch.dev/fetch \
  -H "Content-Type: application/json" \
  -H "X-AgentFetch-Key: af_xxx" \
  -d '{
    "url": "https://www.bbc.com/news",
    "max_tokens": 2000
  }'

In an MCP-aware agent

fetch_url(
  url="https://www.bbc.com/news",
  max_tokens=2000,
)

In LangChain

from langchain_agentfetch import AgentFetchTool

tool = AgentFetchTool(api_key="af_xxx")
result = tool.run({"url": "https://www.bbc.com/news"})

How it routes

AgentFetch automatically routes fetch news article for llm-style URLs through Jina Reader based on domain heuristics — you don't pick a fetcher.

When agents reach for this

News briefing agents, sentiment monitoring, headline summarization.

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