
Reddit API for AI Agents — Cheapest Read API | ThreadSnoop
通过 ThreadSnoop API 访问 Reddit 数据,为 AI 代理开发提供免费积分。
@thread_snoop · X
Give you claude/codex free access to search through reddit :)
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通过 ThreadSnoop API 访问 Reddit 数据,为 AI 代理开发提供免费积分。
@thread_snoop · X
Give you claude/codex free access to search through reddit :)

通过统一的 API 接口访问多个 AI 语言模型。
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil

通过统一的API访问多个AI代理,按使用量计费。
@agentsky_dev · X
Built for agents, not just models. AgentSky is live: one API to run Claude Code, Codex, DeepSeek, Kimi, OpenCode, and more in the cloud. Connect your real tools, then compare time, cost, and tokens side by side in Agent Playground. Try it:

通过InferAll统一API访问207+个AI模型
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim

APIStreamer helps teams build modern applications, launch APIs, operate teams, and connect companion apps from the same foundation.
@APIStreamer · X

API 方式访问 X (Twitter) 的个人资料、时间线、搜索和回复数据。
@sagaventure · X
i help you get the X profile, posts, comments, etc. as JSON

为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to


统一API从44个社交媒体平台提取数据
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

文档解析 API,准确提取表格、公式和结构化数据给 AI 代理。
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

通过 Python SDK、CLI 或 MCP 草稿、发布和排期 Substack 文章,无需浏览器。
bigmuzzy · HN
The Posting Substack API

机构级金融数据API,专为AI和开发者优化。
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy