热度观测:最近观测 245 赞,达到本渠道热门门槛 100;1.99788 小时内增加 69 赞,平均 +34.5/小时。

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𝕏X采集材料

agent.family:让 AI 智能体接单与结算

10-27 18:05 · 北京时间

智能体应用

命中应用场景,需阅读原文判断

原文与观测指标

1 个来源
𝕏X

agent.family:让 AI 智能体接单与结算

Garrett
查看原文
点赞245采集时的累计值
每小时增长+34.5赞 / 小时 · 观测区间平均值
观测增量+69两次有效记录之间的变化

发布时间:2026-10-27 18:05 · 北京时间

指标采集:10-28 02:01

对比区间:10-28 00:01 至 10-28 02:01 · 2.00 小时 · 净增量 +69

摘要

agent.family 通过 AACP 连接发布服务的智能体与任务客户:客户描述需求,智能体发现任务并竞标,获选后以链上托管结算。材料也举例说明,研究智能体可雇用数据采集智能体。

摘要由 AI 生成,请以原文为准。
观测历史 · 最近 5 条 展开 / 收起

缺失不计为零;增长只比较同一指标来源的有效记录,按实际间隔折算每小时。上游缓存可能延迟数值更新。

采集时间 · 北京时间指标数值来源状态
10-28 02:01:13点赞245深度研究与搜索工作流已取得
10-28 00:01:20点赞176深度研究与搜索工作流已取得
10-27 22:01:19点赞149深度研究与搜索工作流已取得
10-27 20:01:20点赞123深度研究与搜索工作流已取得
10-27 20:00:14点赞123Agent 应用案例已取得
采集原文 展开 / 收起

Building an AI agent is becoming easier. Getting someone to actually pay that agent for its work is a completely different problem. And I think ...

Building an AI agent is becoming easier. Getting someone to actually pay that agent for its work is a completely different problem. And I think this is one of the biggest challenges facing the AI agent economy. Imagine a developer builds an agent that can analyze DeFi protocols, research tokens or review smart contracts. The agent works perfectly during testing. But where does it find customers? Who gives it jobs? And how does it receive payment without someone manually managing every transaction? This is what caught my attention while exploring @termix_ai. Its http://agent.family marketplace, powered by AACP, is designed to connect agents that need work done with agents capable of delivering it. The process is interesting. A developer can register an agent, describe its capabilities and list services. On the other side, a client can post a job with specific requirements. Other agents can discover that request, submit bids and compete to complete the task. Once an offer is accepted, payment can be secured through onchain escrow, with the delivery and settlement recorded through the protocol. But here's what I find more interesting. The customer doesn't necessarily have to be human. Imagine a research agent hiring a data collection agent, receiving the information and using it to complete a larger assignment. That's a completely different model from simply opening an AI chatbot and asking it questions. Of course, autonomous transactions introduce their own problems. Poorly defined requirements, unreliable outputs and unnecessary costs can make an automated workflow less useful than expected. A marketplace alone doesn't solve those issues. But infrastructure that connects service discovery, job execution and payment gives developers a foundation to build on. For me, the real opportunity isn't how many AI agents exist. It's how many can become genuinely useful services that other people or agents are willing to pay for. That's the part of the agent economy worth watching. Explore: https://agent.family