Day 76 of #100daysofnetworks
Verdant Eye: API Demo and Walkthrough
Hi everyone! I am utterly thrilled to be writing this. I’m so proud of what I am going to show in this article, and with good reason! When I began the very first iteration of #100daysofnetworks back in 2020 or 2021, I made use of the Twitter API. At that time, the API was reliable for Open Source Intelligence (OSINT) and other research, for understanding the world. But then they changed their pricing, which outpriced many people, including myself and my former/other businesses.
You can read that article yourself. This was the impact:
More information. Not cool. That’s not a positive impact for research and innovation.
They priced out innovators, small developers, and researchers. I was pretty irritated about that because I wrote a whole chapter in my book explaining the Twitter API to my readers. A whole chapter.
So, in August, I decided to fix this. I decided to build my own AI interfaces and APIs and correct this. If they don’t want the world’s innovators and citizen scientists, I do. If they don’t want to help everyday people, I do. That’s the point of this blog. Innovation that leads to creative freedom.
Today I’m going to show my own API, and that I can easily use it to get data. I have already created sample code. If you have your own key, you can simply add it to the notebook code and it will run from top to bottom. You can use my code as a foundation for any research you want to do.
It’s Go Time
We are back. I no longer care about that old Twitter API. This is better, and this is Internet, not Twitter. Twitter/X is one website out of billions. This is world information. That was social media chatter.
Connecting to the API is ridiculously easy. I couldn’t have made it easier. It takes ONE line of code to connect:
client = Client("verdantintel/verdanteye", token=api_key)Easy. I’m currently hosting this as a private Hugging Face space, which exposes this as an API, which is useful enough for the time being. I may move it elsewhere someday, but this is perfect for early access.
If I give you a key, simply put one line above that line that looks something like:
api_key = 'HF_abcdefghijklmnop'Use your actual key value, not that.
So, all together:
api_key = 'HF_abcdefghijklmnop'
client = Client("verdantintel/verdanteye", token=api_key)It is hard to beat that simplicity. With that, you are connected.
I can ask any question I want.
You can see in this screenshot how simple this is to use.
Question: what is the latest information
Answer: 10000 observations
So, going back to Twitter/X.
For basic tier at $100/month, you get access to 10,000 tweets per month. For $8/month, I give my readers access to unlimited internet claims for as long as they are paying subscribers. This math is a no-brainer. And my result set has 10,000 observations. Theirs capped out monthly at 10,000 tweets. I hit their cap in one prompt, in a few seconds. I provide completeness of information, everything that matches a prompt. Why would I limit you to 10,000 ROWS per month? Nope. There are millions of things happening every month. I have built a serious answer and made it affordable.
Sample Code is Online
Sample code is online. You can see it right here. https://github.com/itsgorain/100daysofnetworks/blob/main/day_76_verdant_eye.ipynb
I’m going to make it obvious so that it is easier to see.
API keys are available and are for sale. I am pricing this to make it affordable for citizen scientists and researchers. I am pricing this at $100/month, and I do not limit your searches.
If you would like access, please email me at info@verdantintel.com.
But there is a LIMITED TIME special going on right now, on this blog, if you noticed. Any paying subscribers who are paying subscribers before 3/20/2026 will receive API access for $8/month, not $100/month. They will get access for being paid subscribers of this blog. I mentioned that in the previous article.
So, if you want discounted access, you have six days left. Simply subscribe to this blog as a paying subscriber, or upgrade your free subscription to a paid subscription, and I will reach out on 3/20/2026 to confirm whether or not you would like to have a key and then send you one if you would like one. I already have them ready.
Example Outputs
I gave you a real gem today, and I am not sure you will even notice it. I gave you my clustering algorithm, and it is a combination of graph and NLP. It is very useful, and you can play with the thresholds to get the clusters how you like. This is my own clustering algorithm.
df['cluster'] = cluster_text(df['claim'], similarity_threshold=0.7)If I look at the clusters, I can see different kinds of things going on:
Neat! A whole flood of events have been scheduled at the Denver Library!
Stuff is being talked about immigration facilities. An OSINT mind or investigative journalist should want to look closer and see what’s up. What happened?
Several more live updates about the Michigan synagogue shooting that happened yesterday. This is not duplicate data. This is different sources talking about the same thing. There is more context than this. This is a view of the data.
Each returned answer/dataset is also a natural Graph edgelist. I design my datasets that way intentionally. The same dataset that you can use for NLP/ML, you can also use for Graph Analysis.
Which means that my book is already a textbook on how to use these datasets.
Verdant Eye is high-level situational awareness. GrooveSeeker is street-level event intelligence. More interfaces will be added to the Living Library of Knowledge as the userbase grows and as the company becomes viable. I have made this affordable to individuals, because the mission of Verdant Intelligence prioritizes individuals and small businesses.
I prioritize students, innovators, researchers, citizen scientists, entrepreneurs, and small businesses. Email me at info@verdantintel.com if you would like access, or just become a paying subscriber to this blog by 3/20/2026 and I will literally email you asking if you would like an API key. The discount ends on 3/20/2026. After that, the cost is $100/month. This is my attempt to give something to my readers. I cannot do free. Databases cost money and so does AI.
We’ve Gone Full Circle
With that, this blog has gone full circle and returned to its roots. This series started with my using the Twitter API to understand the world back in 2020 or so. In fact, some of the data that I collected back then was used at a major Cyber Security conference. So, the whole idea of having to prove the value of something that was already proven a long time ago, that’s not going to happen. We are in business, this is an OSINT tool and you can use it to understand the world. My technologies have already been written about a book, previously (not my own).
It comes down to whether or not you want to do research. If you do, this is a useful tool. It is your choice whether you use a tool, but it exists nonetheless and people are using it.
It makes me incredibly happy that we have gone full circle. The Twitter/X loss has an answer.
That’s All for Today
Thank you for reading today’s update! I just wanted to announce the API and provide sample code. This is extremely easy to use, and you can use this to learn about anything. Don’t know what to search for? Did you use a search engine before? You can use this as a search engine, or you can ask a question. AI doesn’t mind if you just give it a few words like a caveman. I do that, sometimes. :)
But I think my favorite is simplest: “What’s the latest information.”
Because the data that is returned is often less than a minute old, and that just feels good every time I see it. It is absolutely surreal to do clustering on internet data that is less than a minute old.
Support and API Access
Please show your support to this blog by subscribing. If you would like heavily discounted API access, please become a paying subscriber by 3/20/2026. The discount ends on 3/20/2026. Anyone who subscribes before 3/20/2026 will keep the discount pricing. Anyone who does not will not get the discount. It is a limited time offer.
Have a great day and weekend!
My book can be helpful in understanding how to analyze these datasets. I wrote it showing how to analyze similar datasets three years ago. This is muscle memory to me by now, and you can learn these skills and techniques as well if you try.
Email me at info@verdantintel.com if you would like API access. We are beginning early-access sales and onboarding.
