Forsy
Data infrastructure capturing real AI agent workflows for training and monetization.
Pontuação
60
Avaliação do Usuário
3.0
Suporte Gratuito/Teste
Não Suportado
Preço Inicial
--
Última Atualização
ago 14, 2026
Visão geral
O que é Forsy?
Forsy is a data infrastructure platform designed to capture real-time workflow data directly from the AI agents you already use, such as OpenClaw, Claude, Codex, and Hermes. It converts this raw operational activity into sellable, structured datasets. By establishing a marketplace with built-in licensing and privacy controls, Forsy allows organizations to discover, license, and trade authentic, high-fidelity workflow data. This data serves as infrastructure and foundational training material for Reinforcement Learning (RL) and the development of more capable, reliable future AI agents.
Para que serve o Forsy?
Tags
Principais Recursos
- Native Capture: Tracked in real time as agents work, never reconstructed afterward.
- Full Coverage: Captures workflows from everyday tasks to specialized domains.
- Trade Agent Data: A marketplace to discover, license, and sell authentic data.
- High Fidelity: Purpose-built infrastructure optimized for training teams building reliable agents.
Como usar Forsy?
To use Forsy, integrate the platform with your existing AI agent stack to enable native, real-time tracking of operational workflows. You can monitor data collection via the platform dashboard, explore the marketplace to trade or license authentic workflow datasets, or submit a request demo form with your organization details to gain full access.
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Prós & Contras
Sem Dados
Casos de Uso
- Turn internal AI agent workflows into strategic, monetizable data assets.
- Acquire authentic, high-fidelity agent workflow data to train future RL models.
Avaliações de Usuários
3.0
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