
Storefront Guard
io.github.maxigirl123由 GitHub 账号 maxigirl123 发布v0.3.2更新于 Oct 25, 2026
Verifies a merchant storefront is legitimate before an AI agent commits payment.
概览
一个本地 MCP 服务器,在 AI 购物代理付款前核查网店域名是否可信,返回信任评分和通俗的继续或阻止建议。
- 可以做什么
- 验证店铺域名,返回信任评分、建议(继续、暂停确认或不要继续)以及每条扣分的通俗原因。核查域名注册时长与近期变更、SSL 证书签发历史和当前 HTTPS 有效性。交叉比对已知诈骗黑名单、企业注册、法定名称登记、网站流量排名、联邦排除名单和 FDA 执法记录。可选地把交易结果反馈写入本地日志。
- 适用场景
- 当助手即将在不熟悉的商家网站完成购买,并希望先获得可解释的信任信号时使用。它面向代理购物和结账流程,而非一般网页浏览。
- 运行要求
- 以 Node.js 18+ 的 npm 包形式通过 stdio 在本地运行。可选的 API 密钥 GOOGLE_SAFE_BROWSING_API_KEY、SAM_GOV_API_KEY 和 URLHAUS_AUTH_KEY 可提升覆盖范围但非必需。公开查询需要网络访问。README 还记录了可选的 HTTP、x402 和 REST 模式,需要 PAY_TO_ADDRESS、API_KEYS 等额外变量。
安装
在 SourceWeft 中
- 打开 控制台中的 Storefront Guard,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
Fortik
Real-time merchant verification for agentic commerce. A shopping agent calls verify_storefront with a domain before paying, and gets back a trust score with a plain-English verdict the agent can act on — in under two seconds.
Fortik is the trust check AI shopping agents run before checkout. It doesn't ask merchants to register in advance — it gathers evidence directly, in the moment, from independent public sources.
This is the mirror image of merchant-side agent-verification protocols like Visa's Trusted Agent Protocol: those let a merchant confirm an incoming agent is legitimate. Fortik lets the agent confirm the merchant is legitimate before committing payment.
What it checks
- Domain registration age & recent changes — via free public RDAP lookups. A domain registered days ago, or one whose registration data changed in the last two weeks, is a red flag.
- SSL certificate issuance history — via free public Certificate Transparency logs (crt.sh). A cert reissued very recently on an otherwise long-established domain can indicate a takeover or hosting change, even when the domain itself looks old and trustworthy.
- HTTPS validity — does the site currently serve a valid cert at all.
- Known-scam blocklist — URLhaus and Google Safe Browsing.
- Corporate registration — US entity lookup via OpenCorporates.
- Legal name verification — GLEIF entity registry cross-check.
- Web traffic rank — Tranco top-1M ranking.
- Federal exclusions — SAM.gov debarment check.
- FDA enforcement — corroborating signal when other risks are present.
Every deduction from the trust score comes with a plain-English reason in
the reasons array — this is deliberately an explainable heuristic, not a
black-box model.
Setup
Requires Node.js 18+.
Copy .env.example to .env and fill in your keys.
Running it
As a local MCP server (stdio):
As a remote MCP server (streamable HTTP) with x402 payment:
As a pay-per-call x402 HTTP API:
As a REST API (API key auth):
All three servers at once:
Feedback endpoint
Submit outcome data after a transaction to help build training data for future ML scoring:
How to use the recommendation field
Every verification result includes a top-level recommendation string alongside the
numeric trustScore. Agents should branch on it rather than implementing their own
threshold logic against the raw score.
recommendationReason is a one-line plain-English explanation safe to show directly to users.
Pricing
$0.01/call via x402. Set your wallet address in PAY_TO_ADDRESS and network in X402_NETWORK (default: base).
Environment variables
来源:README.md,提交 7989b5f
工具
0版本历史
1- v0.3.2最新Sep 16, 2026
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