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Each example below is a complete request body. Change the specifics and send it. Every example sets max_credits so a first run is bounded.

Build a target account list

Find companies that fit your ideal customer profile and show a sign that now is a good time to reach out, such as hiring for a relevant role.
Add persona_ids to get the buyers at each account. See Contacts with personas.

Catch a change in leadership

A new executive often reviews the tools their team uses. Find companies where one just started.

Find companies by their tech stack

Target companies that use a product you integrate with, or one you replace.

Source deals

Find recently funded companies in an area you invest in.

Map a market or segment

When no industry name fits, describe the segment in plain language. Each company is confirmed by research.
Every result cites the evidence that it belongs in the segment, so you can check the list before using it in a market map or a due-diligence memo.

Find acquisition targets

Combine size, ownership and a specific capability.

Build a contact list for a role

Start from the person instead of the company.
POST /v1/people/search

Extend a list you already have

Run the same search again and skip what you have. Each run returns only new companies.

Give an agent a research tool

Wrap search in a function and let an agent call it with whatever the user asks for. The agent gets structured records and the sources to cite.
The full function is in Build with AI.

Writing queries that work well

“Companies that sell to hospitals” can be checked. “Companies that would be a good fit for us” cannot. Unsupported requirements stop a search before it spends anything.
“Hiring” means any open job, however long ago it was posted. If you only want recent postings, say “posted in the last 30 days” or set posted_at.
A job title, technology or funding round written as a filter is checked against data records. The same requirement written as free text has to be researched, which costs more.
Run with limit: 5 and read interpretation, assumptions and the evidence. Adjust, then run the full search.