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Connect your APIs to LLMs in minutes

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  15. 15IL

    2025 · github.com

  16. 16DA

    Hi All, API integration often cycles in repetitive use cases, API specs, Libraries/SDKs, developer context & tech support. We are building a desktop app that lets SaaS API sellers design their API integration flow and lets their customer integrate APIs in seconds. SaaS API companies (including our existing customers) resort to: 1. For API documentation - readme.io, Postman and Swagger (few use PDFs too.) 2. For Chat/Support/FAQ - Freshdesk/Zendesk/Calendly/Skype/Teamviewer 3. For Developer Context - IDEs for Android/iOS/JavaScript On top of these…

    2017

  17. 17PF

    PD founder here. Building integrations with all of your customer's systems is a core challenge for every company building agentic AI solutions. Connect is the easiest way for your users to connect to over 2,400+ APIs and get access to 10,000+ tools, right in your product or AI agent. You can build in-app messaging, CRM syncs, vertical agents, and much more, all in a few minutes. Demo app - https://pipedream-connect-demo.vercel.app/ Quickstart - https://pipedream.com/docs/connect/quickstart You have full, code-level control over how these integrations…

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  18. 18AI

    2016 · saasler.com

  19. 19YK

    We made human-use. Similar to how browser-use connects agents to the web, human-use connects agents to people all over the world in real-time using the Rapidata API. This allows the LLM to crowdsource human feedback and insights when it deems necessary. Free to use for anyone, you can enable your agent to use humans in real-time to: - Do preference research - Check for hallucinations - Capture sentiment - Get feedback - etc. Whatever you would want from humans. We expose certain parts of the Rapidata API to the agent through the MCP server framework. Additionally we provide a custom client.…

    2025 · github.com

  20. 20EC

    Hi! I've found myself repeatedly writing little scripts to do bulk calls to LLMs for various tasks. For example, run some analysis on a large list of records. There are a few "gotchas" to doing this. For example, some service providers have rate limits, and some models will not reliably return JSON (if you're asking for it). So, I've written a command for this. What I've tried to do here is let the user break up prompts and configuration as they see fit. For example, you can have a prompt file which includes the API key, rate limit, settings, etc. all together, or break these up into…

    2025 · github.com

  21. 21LI

    Hey HN! We built Lunon to make LLM development way less of a headache. Ever wanted to see how different models handle the same prompt without all the setup hassle? That's what we fixed. Our API lets you compare Claude, GPT, Mistral and others in real-time with just a few lines of code. No more complex infrastructure or managing multiple API connections - we handle all that boring stuff behind the scenes. Plus, you can cut costs by intelligently routing requests to the right model for each task. Use the powerful (expensive) models only when you really need them. If you're building with LLMs…

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  22. 22LC

    Hey, folks here is a peek into Jujutsu. We at Poozle are working with hundreds of APIs and it has been always frustrating to 1. Search the API in the documentation or ask ChatGPT 2. Then copy it to the postman and understand/test the API 3. Generate code to integrate into the codebase We thought how about having all of this at one place. We currently fine-tuned LLM on public REST APIs to reduce hallucination and then combined it with ChatGPT and Postman. I look forward to feedback, feature requests and discussions!

    2023 · loom.com

  23. 23LP
  24. 24RM

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