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# Introduction
You’ve most likely heard folks speak about APIs quite a bit. Mainly, an API permits a software program to ask one other piece of software program for assist. For instance, after we use our climate app, it would use a real-time API to get the information from a distant server. This little dialog saves you from having to construct every part by yourself. On this article, we’re going to have a look at 5 APIs which can be truly enjoyable and surprisingly simple to make use of. You’re going to get to discover AI fashions, net knowledge, search engines like google and yahoo, mannequin fine-tuning, and artificial knowledge. Every of those APIs opens up alternatives to be taught, experiment, and construct small tasks with no heavy setup. So, let’s get began.
# 1. OpenRouter
Once I was engaged on my analysis paper and wanted to name a number of giant language fashions, the most important headache for me was to maintain observe of all of the totally different API keys. I actually wished there was of accessing all of them without delay (precisely the issue OpenRouter solves). It’s a unified unified API gateway for big language fashions that provides you entry to over 100 fashions from main suppliers like OpenAI, Anthropic, Google, Meta, Mistral, Cohere, and lots of open-source options. So, you solely want one API key and one integration, and you may swap between fashions just by altering a parameter. It additionally handles sensible supplier routing, automated fallback if a mannequin is down, and routing based mostly on value, latency, or availability. Responses are available a standardized format (textual content or picture assist), assist streaming by way of SSE, and all SDKs / purchasers suitable with OpenAI APIs (Python, JS, and so on.) work out-of-the-box with OpenRouter. Pricing is pay-as-you-go with no minimums, beginning at fractions of a cent per token, and there’s a free tier for testing.
# 2. Olostep
I personally imagine that two of the most important challenges with utilizing LLMs are getting real-time knowledge to make sure your info is updated and changing it right into a structured format that your mannequin can truly use. And Olostep solves each of them. It’s a web-data API that lets you scrape, crawl, and search virtually any publicly accessible web site and get the outcomes immediately within the format you need. You possibly can feed stay search outcomes, information, or different on-line content material instantly into your utility. Olostep additionally takes care of structuring the information. It helps a number of endpoints, e.g.,/scrapes for particular person URLs, /crawls to recursively comply with hyperlinks throughout a web site, /batches to course of hundreds of URLs in parallel, and /solutions permitting “ask-the-web” fashion queries the place you get extracted solutions (with sources) slightly than uncooked HTML. The API additionally handles JavaScript-rendered pages, proxies, and anti-bot mechanisms mechanically, making it dependable even for complicated web sites. Pricing begins free (500 requests), with paid tiers from USD 9/month (5k requests) to USD 399/month (1M requests), plus credit score packs for flexibility.
# 3. Tinker API
Tinker API a brand new API from Pondering Machines Lab (launched October 2025) that goals to simplify fine-tuning and customized coaching of open-weight giant language fashions by providing you with full management over the coaching loop i.e forward_backward, optim_step, pattern, save_state and so on. As soon as coaching is completed, you may obtain the adapter/weights and use them outdoors Tinker together with your most well-liked inference stack. It helps well-liked base fashions like Llama, Mistral, and GPT variants, with endpoints for fast LoRA/QLORA fine-tunes, multi-agent simulations, and data-centric tweaks similar to artificial augmentation or bias mitigation. It additionally consists of sandbox-like interface for prototyping in minutes. Tinker is at the moment in non-public beta with a free tier for small experiments (e.g., <1B params), and it’s already being utilized by analysis teams at universities like Princeton, Stanford, and UC Berkeley. Scaling to pay-per-compute-hour fashions beginning at USD 0.50/hour for mid-tier GPUs.
# 4. SerpApi
SerpApi is a real-time net search API that makes it simple to get structured search outcomes from Google and different search engines like google and yahoo. It will probably fetch natural outcomes, information, pictures, buying listings, maps, and knowledge-graph bins, and ship in a clear JSON (or optionally uncooked HTML). The API handles the complicated components for you, together with fixing CAPTCHAs, rendering JavaScript, managing proxies, and mimicking actual person conduct, so that you get correct and up-to-date outcomes. You possibly can management many parameters, together with search question, language, location, system kind, search kind, pagination, and output format. This makes it simple to fine-tune the information you obtain. Pricing begins with a free tier that provides 250 searches per 30 days. Paid plans embody Developer at USD 75 for five,000 searches, Manufacturing at USD 150 for 15,000 searches, and Large Knowledge at USD 275 for 30,000 searches. All plans are month-to-month, with 99.95% uptime for paid choices and customized high-volume plans accessible.
# 5. MOSTLY AI Generator API
MOSTLY AI Generator API helps you create reasonable, privacy-safe knowledge out of your actual datasets. You begin by coaching a generator in your tables, CSVs, or databases. The generator learns patterns, correlations, and relationships in your knowledge whereas retaining non-public info secure. After coaching, you may create as many new information as you want utilizing the API or the Python SDK. It really works with many knowledge sorts, together with numbers, classes, textual content, time-series, geolocation, and multi-table datasets. You may also do conditional sampling, rebalance distributions, or fill in lacking values. The platform offers detailed experiences so you may see how intently the artificial knowledge matches the unique, together with distributions and correlations. You should use this knowledge for sharing safely throughout groups, testing machine studying fashions, or operating experiments the place utilizing actual knowledge is dangerous. It offers you sensible, versatile knowledge you may belief for analytics, AI coaching, or analysis with out exposing delicate info.
# Wrapping Up
These 5 APIs present how a lot you are able to do with out constructing every part from scratch. OpenRouter makes working with a number of LLMs easy with one API key. Olostep offers you reside net knowledge and turns it right into a structured format your fashions can use. Tinker helps you to fine-tune and experiment with LLMs with out sophisticated setups. SerpApi makes real-time search simple and dependable, and MOSTLY AI Generator API helps you create reasonable, privacy-safe knowledge for testing and experiments. Every one is highly effective, but in addition beginner-friendly sufficient to attempt rapidly.
Which APIs do you want essentially the most? Have you ever tried any of those, or do you employ others? Share your favorites within the feedback under. I’d like to see what you’re working with 🙂
Kanwal Mehreen is a machine studying engineer and a technical author with a profound ardour for knowledge science and the intersection of AI with drugs. She co-authored the e book “Maximizing Productiveness with ChatGPT”. As a Google Era Scholar 2022 for APAC, she champions variety and educational excellence. She’s additionally acknowledged as a Teradata Variety in Tech Scholar, Mitacs Globalink Analysis Scholar, and Harvard WeCode Scholar. Kanwal is an ardent advocate for change, having based FEMCodes to empower ladies in STEM fields.
