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With the HTTP Request node

1. Save your key as a credential

In Credentials → Create credential, choose Header Auth:

2. Add the request

Add an HTTP Request node. The quickest way to fill it is Import cURL — paste this and press Import:

curl https://api.typesearch.ai/v1/search \
  -H "Content-Type: application/json" \
  -d '{ "query": "lithium royalties in Chile", "days": 1, "mode": "fast", "max_results": 10 }'

Then set Authentication to Generic Credential Type → Header Auth and choose the credential from step 1. Or fill it by hand:

To search for what an earlier node produced, use an expression in the body:

{ "query": "{{ $json.topic }}", "days": 1, "mode": "fast", "max_results": 10 }

The articles come back in results. Add a Split Out node on results to get one item per article, with title, url, source, published_at, score and snippet.

3. As a tool for the AI Agent node

Connect an HTTP Request Tool to the agent’s Tool input, with the same URL, method and credential, and let the model write the query with $fromAI:

{
  "query": "{{ $fromAI('query', 'What to search for in the news, in any language', 'string') }}",
  "days": 7,
  "mode": "fast",
  "max_results": 8
}

Describe the tool so the agent knows when to call it: Searches recent news articles and returns title, URL, source, publication time and a relevance score for each.

Ideas

• A morning briefing: a Schedule Trigger, one search per topic with "days": 1, and an email or Slack message with the titles and links.
• Alerts: keep only results with score above 0.8, and remember the URLs you’ve sent so each article goes out once.

Each search costs $1.40 per 1,000 in fast mode, as in these examples; without mode, the API uses normal ($2.20), which reads the top results before ranking them.