reddit · SideProject · 10-26 09:50 45 分 ← 返回列表

I built an open source payment layer for AI agents Looking for feedback on the spending controls

I'm building railgate an MIT-licensed testnet payment layer for AI agents with AI assistance. An agent submits a payment intent through MCP. Owner rules check the recipient, spending limits and funding before execution. Payments above a configured threshold need human approval. Retries reuse the same payment rather than creating another transfer. The working prototype includes: - Six MCP tools and an HTTP API - Spending limits, expiring approvals and an audit log - Durable payment st

五维评分

付费意愿

需求真实度

个人可落地

竞争空间

新鲜度

AI 分析

痛点：AI Agent 自动付款缺少可控的预算、审批、重试与审计机制，开发者需要安全的支付护栏。

目标用户：构建自主 AI Agent 的开发者与小团队，尤其是需要让 Agent 调用支付/MCP 工具的场景

证据：An agent submits a payment intent through MCP. Owner rules check the recipient, spending limits and funding before execution. Payments above a configured threshold need human approval. ... I'd particularly value feedback on: 1. Would this fit an agent workflow you have? Which one?

变现：开源核心 + 托管 SaaS 订阅（团队预算/审批/审计），企业版合规与真实银行/主网通道，按交易或席位收费

MVP：两周内做 MCP/HTTP 支付护栏插件：预算规则、人工审批、幂等重试、审计日志，先接 Stripe/Circle 测试网或虚拟卡沙盒，不做真实银行清算

竞品：Coinbase AgentKit、Skyfire、Payman、Nevermined

摘要：作者发布 MIT 许可的 railgate 原型，为 AI Agent 提供基于 MCP 的测试网 USDC 支付层，包含支出限额、超额人工审批、过期审批和审计日志。项目已完成测试 USDC 转账验证，但银行/FX 为模拟，无主网或真实银行支持，并在征集使用场景和缺失控制点的反馈。