Find experts to interview on any topic

Researchers and practitioners who published or spoke recently on your topic, their papers and podcast appearances, their X profiles and emails.

Steps

At most, per call

An expert search finds people through their recent work, not their self-description. With Agentik, your AI finds authors of recent, well-cited work with OpenAlex, people who spoke on podcasts through Exa, their X profiles through the X API and their emails with Icypeas.

Step 1: Find recent authors
OpenAlex finds authors of recent, well-cited papers on the topic, with their institutions.
- Scholarly works searchOpenAlex · 2 searchesFree
Step 2: Find people who spoke on podcasts
Particle, through Exa, searches podcast transcripts for people who spoke on the topic.
- Particle podcast transcript searchExa · 1 transcript search$1.00
Step 3: Find their profiles and emails
The X API returns their profiles, and Icypeas finds their work emails.
- X user profiles by usernamesX · 10 profiles$0.30
- Icypeas email finder in batchIcypeas · 10 people$0.19
Step 4: Write the requests
Your AI writes an interview request for each expert.
Your agent does this part, with no tool call.

Cost of the example

At most $1.49one run

2 OpenAlex searches, one podcast transcript search, 10 X profiles, 10 emails found.

Give this to your agent

Use my connected Agentik MCP server for this job: expert finder.

Find experts to interview on a topic. First ask me for the topic, the angle and whether I want academics, practitioners or both.

Find authors of recent, well-cited work with openalex/search-works. Find people who discussed the topic on podcasts with exa/particle. Read their X profiles with x/users-by-usernames. Find their emails with icypeas/find-emails-batch.

Finish with a list (expert, affiliation, recent paper or appearance, why they fit, X, email) and an interview request for each.

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.

4 providers, one connection

What you get

An expert list with contacts and requests.

You provide

The topic and angle
Academics, practitioners or both

Your agent returns

Experts with recent work or appearances
Why each one fits
X profiles and emails
An interview request for each

ExpertsExample layout

Expert	Affiliation	Recent work	Contact
Researcher A	University	Cited paper	Email
Practitioner B	City agency	Podcast guest	X profile
Researcher C	Institute	New study	Email

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

Academic emails are often public on university pages; your AI checks there first when it can.
Particle covers the podcasts it has transcribed.

When to use something else

For vetted experts on demand with scheduling, use an expert network. This playbook finds people through their published work.

Questions

Are academic emails public?

Often, on university pages. Your AI checks there first when it can.

Does it cover every podcast?

Particle covers the podcasts it has transcribed.

What does the example cost?

At most $1.49, reserved before each call and settled at the measured usage.

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