Alternatives
Products that do what SpareAPI does
One key for the APIs your agent needs
- 1OV
We built OneCLI because AI agents are being given raw API keys. And it's going about as well as you'd expect. We figured the answer isn't "don't give agents access," it's "give them access without giving them secrets." OneCLI is an open-source gateway that sits between your AI agents and the services they call. You store your real credentials once in OneCLI's encrypted vault, and give your agents placeholder keys. When an agent makes an HTTP call through the proxy, OneCLI matches the request by host/path, verifies the agent should have access, swaps the placeholder for the real…
Mar 2026 · github.com
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- 5SB
Hello HN, I’ve always loved building frontend-only apps—those you can prototype over a weekend, host for free on GitHub Pages, and scale to millions of users. Unfortunately, AI-enabled apps complicate things, as exposing your OpenAI key to the world is obviously a no-go. This also means mobile developers often have to run their own servers. That’s why I built ServerlessAI, an API gateway that lets you securely call multiple AI providers directly from client side using OpenAI-compatible APIs. You can authenticate users through any identity provider, like Google or Apple, and set per-user…
2024 · serverlessai.dev
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- 7RE
Hey HN! We built a browser-based agent that runs inside an authenticated web app, watches how the app calls its own APIs, and automatically turns those into agent tools. You can think of it as an auto-generated MCP server that self-updates as the host app changes. The result is a skilled AI assistant that actually integrates deeply with any product (not just chat and RAG) with minimal effort. Check out these short demos below that show the agent in software you're probably familiar with: - Jira: https://demo.frigade.com/hn?skill=jira - Spotify:…
Jul 2026
- 8AP
Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https://www.petrostechchronicles.com/) https://github.com/Aherontas/Pycon_Greece_2025_Presentation_... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers -…
Sep 2025 · github.com
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OneKey access for agents Ship APIs/MCP/Skills/CLI 10× faster
Apr 2026 · aiagenta2z.com
- 11AC
api2ai parses OpenAPI Spec to generate an agent that can make API calls. For context, I recently need to explore a handful of API suites and thought LLMs can help expedite this process. After some digging, I found OpenAPI Specs are perfect fit for function calling. Based on a text prompt, api2ai can select the right endpoint and properly parse request params and make api calls. It also handles authentication, currently it supports basic auth, api keys, and bearer token schemes. The tool has helped me explore and see APIs in action without a deep dive into the docs or using postman. It’s open…
2023 · github.com
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- 13UM
Hey HN Community, I built MCP360 after spending weeks integrating APIs for an AI agent project. Each tool needed its own setup, auth, billing, and maintenance. When any APIs changed, my integrations broke. I got tired of it. MCP360 is a single gateway giving AI agents access to 100+ tools through one config block. Search engines, web scraping, SEO, e-commerce data, maps, domain tools, and more. Real example: Instead of managing Google Search, web scraping, SERP tracking, and keyword research as 4 separate subscriptions (4 bills, 4 auth systems, 4 points of failure), you connect once. Works…
Oct 2025 · mcp360.ai
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- 15OA
Hey HN, we’ve been working on a way to simplify authentication with third-party APIs. This started because my co-founder andreterron (https://news.ycombinator.com/user?id=andreterron) and I both built personal dashboards to track different health and productivity metrics, but it’s such an annoying chore to integrate with new APIs. First you read their docs to learn their authentication method, then build and deploy a custom server to receive OAuth callback requests or deal with CORS, register an app with them, then finally you can send the first request to their API. After the…
2023 · oneapikey.com
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Open-source AI browser agent that runs any model you choose
Jul 2026 · opensidekick.app
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Mar 2026 · keyid.ai
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- 23WM
I’m the developer behind the Web MCP at Bright Data. We just launched a free tier so any AI Engineer/ Vibe coder can give their LLM real web access — 5,000 requests/month at no cost. Unlike most MCP servers that wrap a single SaaS API (e.g. Gmail, GitHub), the Web MCP wraps the entire internet. It handles JS-heavy sites, auto-solves CAPTCHAs, and returns clean Markdown your model can use. Free tier includes: search_engine → search results from Google/Bing/Yandex scrape_as_markdown → fetch any URL as clean, LLM-friendly Markdown (with CAPTCHA handling) Quick start:…
2025 · github.com
- 24AA
Hey HN - I'm Mason, and I'm excited to share AgentCash - a CLI to help your agent discover and pay for premium APIs and paywalled data. The problem we kept running into was simple: if you want an agent to use premium data or services, the setup flow is awful. You have to find the right provider, sign up manually, subscribe, generate an API key, install tooling, and then teach your agent how to use it. Then do that again for the next provider. We wanted a simpler model: give the agent a universal balance, let it discover available resources, and let it pay per call. So AgentCash gives agents…
Mar 2026 · agentcash.dev
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