Build an investor list from this year’s deals

Funds that led rounds in your space recently, their thesis read on their own sites, the partners to contact and their emails.

Steps

At most, per call

An investor target list keeps the funds that back your sector and stage, with a recent deal to mention. With Agentik, your AI finds funds with Exa, recent rounds with Serper, reads each fund’s thesis with Firecrawl, finds partners with Leadsforge and their emails with Icypeas.

Step 1: Find relevant funds
Exa finds funds that invest in your sector and stage, by meaning.
- Exa web searchExa · 2 searches$0.14
Step 2: Find recent rounds
Serper searches the news for recent rounds in your space and who led them.
- Google News searchSerper · 3 searches$0.03
Step 3: Read their thesis
Firecrawl reads each fund’s thesis and portfolio pages.
- Scrape a web page to markdownFirecrawl · 10 pages$0.03
Step 4: Find the partners
Leadsforge finds the partners and principals at each fund, and Icypeas their work emails.
- Leadsforge people searchLeadsforge · 30 peopleFree
- Icypeas email finder in batchIcypeas · 20 people$0.38
Step 5: Rank the list
Your AI ranks the list and writes a two-line intro for each fund that cites its deal.
Your agent does this part, with no tool call.

Cost of the example

At most $0.57one run

2 Exa searches, 3 news searches, 10 fund pages read, 30 partners, 20 emails found.

Give this to your agent

Use my connected Agentik MCP server for this job: investor target list.

Build my investor target list. First ask me for my sector, my stage, my round size and my location.

Find funds that invest in my sector and stage with exa/search. Find recent rounds and their lead investors with serper/news. Read each fund’s thesis and portfolio pages with firecrawl/scrape. Find partners at those funds with leadsforge/search-people and their emails with icypeas/find-emails-batch.

Finish with a ranked list (fund, recent relevant deal, thesis fit, partner, email) and a two-line intro for each that cites their deal.

Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged.

5 providers, one connection

What you get

A ranked investor list with intros.

You provide

Your sector and stage
Round size
Location

Your agent returns

Funds that led relevant rounds recently
Each fund’s thesis fit
The partner to contact and their email
A two-line intro per fund

InvestorsExample layout

Fund	Recent deal	Thesis fit	Partner	Email
Fund A	Seed in your space	Strong	Partner	Found
Fund B	Series A nearby	Medium	Principal	Found
Fund C	Seed abroad	Strong	General Partner	Not found

Placeholders. Your rows come from your run.

Each provider does one part

No single provider covers this job. Your agent calls each one for its part, from one connection.

Good to know

A warm introduction beats a cold email; your AI points out shared connections it finds in public profiles.
Deal details come from the articles cited.

When to use something else

For a full investor database with check sizes and history, use a fundraising CRM. This playbook builds a list from this year’s evidence.

Questions

Is a cold email to a fund worth it?

A warm introduction works better. Your AI points out shared connections it finds in public profiles.

Where do deal details come from?

From the articles cited, linked in the list.

What does the example cost?

At most $0.57, reserved before each call and settled at the measured usage.

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