
大模型 API 中转站检测|排查模型降智、套壳与协议兼容性
检查 OpenAI 兼容的 API 端点的模型质量和协议兼容性问题。
AI快站模型质量检测 — 面向 OpenAI Compatible 接口的网页检测工具,输入公开 HTTPS 地址和临时 API Key,可检查模型声明、Token、动态题、SSE 与工具调用并生成分项报告;密钥仅用于当次检测,不写入数据库、缓存或日志
完整作品展
技术栈
60 projects

检查 OpenAI 兼容的 API 端点的模型质量和协议兼容性问题。
AI快站模型质量检测 — 面向 OpenAI Compatible 接口的网页检测工具,输入公开 HTTPS 地址和临时 API Key,可检查模型声明、Token、动态题、SSE 与工具调用并生成分项报告;密钥仅用于当次检测,不写入数据库、缓存或日志

在浏览器中直接测试OpenAPI端点、对比规范、生成模拟数据。
@_codewithshahid · X

OutreachOS Signals — up to 20 evidence-backed B2B companies matching your editable Account Spec.
@sorichev · X
5 free B2B leads

浏览并安装1,800+个MCP服务器,按信任度和风险等级排名。
@Shidesheng0218 · X
🔥 Just launched: MCP Market 1,600+ MCP servers ranked by Trust Score, Risk Level, and install success data. For Cursor, Claude, VS Code, and Codex. Copy config. Know it works. No more guessing. #MCP #AITools #Cursor #Codex #BuildInPublic

基础设施平台,连接 AI agents 到 800+ OAuth 集成,支持沙箱代码执行。
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions

从网站生成 MCP 端点和 llms.txt 文件供 AI 代理集成。
AshHackerNews · HN
AgentReady – MCP server that makes any docs site queryable by AI agents

获取即时 SQL 数据库端点和认证密钥,可在您的应用中使用。
@gonelf · X
So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event

分享最高 20 GB 文件,采用零知识加密和自动链接过期。
@clickswave · X
vibe coded slop

监控 API 端点并在其离线时收到即时告警。
u/Fit-Adhesiveness-848 · Reddit
Built an uptime tool because double-digit pricing felt insane for a few endpoints Hey everyone, I’m Ricky, solo builder of PingPulse. I kept bouncing between “too expensive for a side project” and “too barebones to trust.” I wanted something simple but strong: know when an API goes down, get pinged somewhere I already live (Discord/Slack/Telegram/Mail), and optionally show customers a status page, without enterprise pricing. So I built PingPulse . What it does Endpoint checks (HTTP

连接 Claude 到 1000+ 销售工具的 MCP 服务器。
u/Harshit-24 · Reddit
We gave Claude access to 1,000+ sales tools. Building the brake pedal was harder than the tools. I’m part of the team building Komo. The product is already live—this is a build note about an architecture decision, not a launch announcement. Connecting an LLM to business data is relatively easy when the model is only reading. “Summarize this account.” “Find the last conversation.” “Explain why this deal stalled.” The problem changes when the model can perform actions: Search and

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

为开发者和AI代理提供永久Webhook端点和即时HTTPS隧道。
@BinaryScriptar · X
Introducing OtterKit. Always-on webhook endpoints and instant tunnels, built for developers and their AI agents. It started with a problem I kept hitting: every time my coding agent needed to test a Stripe or GitHub webhook, it had to open a tunnel. What OtterKit does • Permanent webhook URLs that answer senders 24/7 with the status, body and headers you choose, verify signatures on arrival (Stripe, GitHub, Shopify, Slack and 12 more), store full history, and forward matching events to your app, signed and retried • Instant HTTPS tunnels to any local port in one command, stable subdomains, auto stop, basic auth • Replay any captured request, edit the payload, re sign it, fire it at your local handler • Pulses: scheduled HTTP calls and dead man's switches with email alerts • Payload drift detection: baseline the JSON shape per event type, get emailed when a provider changes it • Custom domains ( and an email inbox on the same endpoint • A