
Telem AI - Infrastructure for AI Agents
Route web searches and data fetches across providers for AI agents, with built-in observability.
yurikoif · HN
Telem – Route agent web search across providers and inspect the traces
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Route web searches and data fetches across providers for AI agents, with built-in observability.
yurikoif · HN
Telem – Route agent web search across providers and inspect the traces

Generate realistic mock APIs with response rules, variables, and AI-assisted setup for development testing.
u/Not_Imagine · Reddit
I built a tool to instantly generate mock APIs instantly with AI Hi everyone, We all run into the same frustrating bottleneck on projects: the UI is ready to go, but the backend API isn’t finished yet and we need to resort to hardcoding mock data. This, however cannot reproduce edge cases like rate-limiting, network latency, or 500 errors. To solve this, I built SynthAPI https://getsynthapi.com/ It's a developer tool that lets you generate live mock API endpoints in se

Fully managed Umami Analytics hosting with automatic updates, backups, and zero DevOps.
@engMostafaMatar · X
Working on the SEO for 🤞 It's really hard with new domains though 😅

Discover and access 100+ APIs for AI agents through one prepaid account.
interface1860 · HN
TaskFuel – agents discover and pay per call for 100 APIs

Use a single API to access AI models from 12 different providers.
@Boltchh · X

Open-source ecosystem for discovering, evaluating, and publishing AI tools with a sandboxed testing framework.
@BobbySBX · X
We just dropped Assay v0.2.6, the open source evaluation engine powering Most registries judge an AI tool by its README. We built Assay to actually run skills, MCP servers, and plugins inside isolated sandboxes with live models to observe what they do before you install them. What is new in v0.2.6: - NVIDIA API Catalog provider: Native support is here, allowing you to use NVIDIA driver and judge models to run behavioral benchmarks and multi-tier audits. - Zero runtime dependencies: Still a self-contained ~240 KB tarball that speaks directly to @nvidia , @AnthropicAI , @OpenAI , @OpenRouter , and local HTTP endpoints without SDK bloat. - Adversarial and static checks: Out of the box verification against prompt injection, tool scope creep, destructive shell commands, and supply chain drift. Every tool on is tested through Assay. That means 4,200+ skills, MCP servers, and plugins are commit-pinned, graded on actual runtime behavior, and rea

Access leading AI models through one API with transparent token pricing.
DustinPham12 · HN
1endpoint – Cheaper access to AI models

OpenAI-compatible chat, embed, and rerank on one key. Hard-capped prepaid billing and an official n8n node — no surprise invoices.
@trycaedral · X

Compare how different AI models generate frontend code and view accessibility scores.
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •

API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具,专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的,就像大佬们说的,“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ,说要用 AI 赋能传统行业啥的,代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子,金融行业的“智能审计与尽调 Agent”。 过去,银行或投资机构想要给一家企业贷款或投资,需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ,但把文件一股脑全丢给它是不现实的,且不说烧 token 的问题,这些文档里有无数的跨行、跨列单元格表格,普通工具一拉,表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块,那得出的财务分析就完蛋了。 所以,现在要真想开发出一个能干活,还确保正确率的 agent ,就需要一个专业的、AI-native 的解析工具,把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的: https://knowhereto.ai/?utm_source=v2ex 它能把复

Unified AI API gateway and admin dashboard.
aixnode350 · V2EX
[低价易得,稳定难求] 做了个中转站,福利送码 市面上做 AI 接入的中转站很多,但真正能长期稳定用、账单清楚、状态透明的并不多。 TianWaiAI 目前稳定运营中,主要面向需要接 Claude / GPT 的开发者、AI Agent 、自动化脚本和小团队。 网站: https://tianwaiai.com/ 平台核心能力: ✅ 支持模型: claude-fable-5 / claude-opus-4-8 / claude-opus-5 / claude-sonnet-5 / gpt-5.5 / gpt-5.6-sol / gpt-5.6-terra ✅ 公开价格页,方便直接比价 https://tianwaiai.com/pricing ✅ 实时状态监控 https://tianwaiai.com/state ✅ 实时消费明细 https://tianwaiai.com/dashboard/overview ✅ 简单配置 官网创建 API 后,直接把 Key 配到自己的应用、Agent 或工具里即可 ✅ 基础服务稳定

Permanent webhook endpoints and instant HTTPS tunnels for developers and AI agents.
@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