AI Agent Use Cases › Find Prospective Customers
Find Prospective Customers
Build a list of companies that fit your ideal customer, from public sources only.
What you get: A sourced table of companies, websites and why each fits.
Agent Templates for This Use Case
Lead Researcher
Builds lists of prospective customers from public sources.
Research Analyst
Finds, reads and cites sources, then writes a short sourced brief.
Tools These Templates Use
- Exa: Neural search engine that finds pages by meaning, with content retrieval and similar-page lookups.
- Firecrawl: Turns websites into clean markdown or structured data, with crawl, scrape and map endpoints.
- Apify: Platform with thousands of ready-made scrapers called Actors, plus infrastructure to run your own.
- SEC EDGAR: US company filings and financial facts as JSON; requires a descriptive User-Agent header.
- OpenStreetMap: Community-built world map data, downloadable or queryable through the Overpass API.
- Resend: Developer-focused email sending API with a free tier and official SDKs.
- Tavily: Search and content extraction built for LLM agents, returning cleaned snippets rather than raw links.
- Brave Search API: Web, news, image and video search from an independent index, with a small free plan.
- Jina Reader: Prefix a URL and get an LLM-friendly text version of the page back; a keyless tier exists with rate limits.
- arXiv API: Search and fetch metadata for millions of open-access preprints in science and maths.