Q: What's different about SharpAPI?
This platform already seems geared towards slightly technical users. If that's the case, what's the benefit of using this service instead of using OpenAI directly?
Also, can you share any upcoming features/APIs that you have planned?
I'm trying to understand why I might choose SharpAPI instead of another LLM API provider.

Dawid.Makowski
Dec 2, 2024A: We're getting this question a lot :-)
SharpAPI is all about a zero-hassle approach to AI integration, making it ideal for a young and growing AI workflow automation market.
Here’s why we believe SharpAPI stands out:
- Effortless Integration: Just copy a few lines of code, add your parameters, and you're ready to go. No need for specialized knowledge or expensive developers. SharpAPI supports seamless integration across multiple SDKs, including Node, PHP, Laravel, .NET, Flutter, and Python.
- Simplified AI Workflows: SharpAPI takes care of the complexity by managing, optimizing, and updating AI models for you. Workflows improve automatically over time with zero effort from your side.
- Predictable Outputs: SharpAPI delivers consistent, clean JSON-formatted data, ensuring smooth and reliable system communication.
- Enterprise-Ready: Designed for scale, SharpAPI provides high reliability, compliance with regulations like GDPR, and tailored solutions for large businesses.
- Cost Efficiency: Flexible pricing lets you pay only for what you need. The AppSumo LTD offers even more value for long-term users.
SharpAPI saves you time, simplifies AI integration, and ensures cost-effective, reliable solutions.
Of course, you can choose another LLM provider and attempt to build your own workflows. However, during that process, you'll likely encounter challenges such as handling edge cases, addressing hallucinations, resolving data format incompatibilities, and more. Alternatively, if we already have the specific AI workflow you need, you can simply tap into the API, import the SDK package, and have everything running literally in just two minutes. It’s AI workflow integration without the need for any AI expertise—just treat it like any other RESTful API.
Many developers also value the simplicity and speed of implementation, which is why they integrate SharpAPI through unified APIs from platforms like https://apyhub.com/services/provider/sharpapi or https://allthingsdev.co/publisher/profile/SharpAPI - AppSumo LTD can't be used for Marketplaces though.
Just check our GitHub repos for code sample examples (https://github.com/sharpapi/ or https://github.com/sharpapi/sharpapi-laravel-client) to understand how easy it is to inject those workflows into existing software platforms.
As for our plans, we’re working hard to expand our offerings and are adding new workflows every week. Securing an AppSumo LTD ensures you’ll have access to all upcoming features.
Currently, we’re working on:
- A searchable utility database API for job skills (around 100k) and job positions database
- Additional output formats (e.g., Markdown, HTML) for popular content management workflows
- New workflows such as international address detection, profanity detection (and masking), and a URL-to-Markdown extractor
- Content generation workflows tailored for e-commerce (product catalogues)
All these developments are expected to be available by the end of December.
PS. There's a more detailed blog article being prepared for this topic, will share it here soon.
Thanks for the detailed response. If I'm understanding correctly, it seems the added value is simplicity, standard outputs, and cost.
Do you foresee SharpAPI adding APIs with additional functionality (i.e., scraping, document extraction, transcription, etc.)? Or is this strictly about repurposing data with AI?
You’ve got it—simplicity, instant AI-powered workflow integration, standard outputs, avoiding hallucinations and Plug&Play SDKs are the SharpAPI magic.
And yes, scraping, document extraction, transcription? All in the works!
We're getting similar requests also from our API Marketplace partners and their customers. We’re building a toolbox to tackle it all (hopefully). Stay tuned! 😊
You promise no hallucinations? How are you guaranteeing this? Even perplexity can make mistakes. Even feeding data to AI results in output that needs editing.
I can’t promise 100% immunity to hallucinations since we work with LLMs, but our workflows are designed to minimize them. Each workflow is built around a single, specific instruction with strict input definitions, leaving little room for interpretation. This approach significantly reduces the chance of errors. We’ve run millions of AI jobs, and so far, we’ve had no complaints about hallucinations.
I’ve just published a detailed article on this topic: Why Developers Should Choose SharpAPI Over Operating AI Models Manually.
You can find it here: https://sharpapi.com/en/blog/post/why-developers-should-choose-sharpapi-over-operating-ai-models-manually