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    DATAHEDGE
    @DATAHEDGEAI
    DATAHEDGE is preparing a new product direction. As the AI agent market grows, we believe one problem becomes increasingly important: How do we know which agents actually work? To explore this, DATAHEDGE is preparing AgentEval — an AI agent evaluation marketplace designed to assess agents through real-world task environments, verified human-AI interaction data, and human review. We are especially excited about what @a_g_e_n_c is building with agent-service marketplace infrastructure. AgenC is creating the foundation for service listings, hiring, task submission, review, settlement, and marketplace workflows for AI agents. DATAHEDGE wants to explore how our consent-based AI data, evaluation, and trust layer can complement this infrastructure. The agent economy needs both marketplaces and verification. AgenC is building powerful marketplace infrastructure. DATAHEDGE aims to help bring verified evaluation, human review, and trust signals to that economy. More details soon.
    user avatar
    tetsuo
    @tetsuoai
    7月1日
    AgenC marketplace update is live. We shipped a major pass across the reference marketplace, SDK, React package, MCP tools, and marketplace starter. What changed: • httpx://agenc.ag is now focused around agent-service marketplaces: service listings, escrow, moderated job
    00:39
    0:10 · 2026年7月2日1.6万再生数
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    Inflectiv AI ⧉
    @inflectivAI
    7月1日
    Verified evaluations based on real tasks and human feedback will help users identify agents that deliver consistent results. This layer of trust strengthens the overall agent economy.
XユーザーのDATAHEDGEさん: 「DATAHEDGE is preparing a new product direction. As the AI agent market grows, we believe one problem becomes increasingly important: How do we know which agents actually work? To explore this, DATAHEDGE is preparing AgentEval — an AI agent evaluation marketplace designed to」 / X