@rohanpaul_ai: Jev is barely a week old, and this is already a pretty clean example of where a decision model fits inside an agent. Cl…
Summary
Clay for AI agents is an open-source tool using the Jev decision model to score leads against criteria, making it 85% cheaper than Clay and top in accuracy benchmarks, with easy plugin integration for AI agents.
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Cached at: 09/23/26, 10:15 PM
Jev is barely a week old, and this is already a pretty clean example of where a decision model fits inside an agent.
Clay for AI agents: you describe the kind of person you want, and @treg_ai searches across 60+ people-data providers to find matching leads and their details.
Jev then scores those people against your criteria, so the agent can automatically decide which leads are actually worth keeping. i.e. Treg handles the retrieval side > Jev sits after retrieval.
- 85% cheaper than Clay
- #1 on people search bench accuracy
- Plugin to any agent
It takes the candidate state and evaluates questions such as whether someone matches a role, company profile, or other criteria, returning structured probabilities rather than another paragraph of generated text.
Jason Zhou (@jasonzhou1993): We rebuilt Clay for agents Powered by Jev + @treg_ai
No more $600 subscriptions, just $0.0089/lead
Try it at https://t.co/c1hpuBiL5J
- 85% cheaper than Clay
- #1 on people search bench accuracy
- Plugin to any agent
Fully open source, 0% markup
Git Repo below 👇
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