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Expert & KOL Finder: Ranked Academic Experts by Topic
Type a topic, get a ranked shortlist of the people who publish on it, with the papers that put them there.
Free
Expert & KOL Finder: Ranked Academic Experts by Topic
Example session with this skill installed
Top 25 experts on antimicrobial resistance in wastewater, active since 2022, in the US, UK or Germany.
- Read your context and instructions
- Compiled the expert & kol
Ranked table: name, institution and country, topic papers, topic citations, h-index, last active year, one evidence paper with DOI, profile link; plus how the ranking works and a cost line.
Connects securely to your tools. The creator never sees your data.
About this skill
Type a topic, get a ranked shortlist of the people who publish on it, with the papers that put them there. Built on open scholarly data (OpenAlex, CC0, and the public ORCID API). No Google Scholar scraping.
Read references/calling-the-tools.md before the first run (calling options, token and spending rules).
| MCP tool / Actor slug | What it returns | Live price |
|---|---|---|
researcher_expert_finder / researcher-expert-finder | Rank, name, ORCID, OpenAlex profile, current institution and country, works count, total and topic citations, h-index, topic works, top topics, last active year, newest matching papers (title, year, DOI, citations), ORCID employment, role, keywords, websites and short bio | $0.0025 per expert returned |
Searches with no results are not charged. Example: 50 experts = $0.125.
Strong for academic publishers, weaker for industry experts who rarely publish. Affiliations can lag job moves. Name disambiguation isn't perfect, so check profiles before contacting anyone. Requires an Apify account.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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Reads the Apify token only from the environment or MCP config; never prints or stores it. Each run is capped. The user pays Apify $0.0025 per expert returned.