Hello everyone. This week, I’m going to be doing a lot of writing, as I am doing a lot of development. I am working on two things:
Preparing for next month’s “Knowledge Graph from Scratch” class
Building new endpoints, MCP tooling, and datasets with GrooveSeeker data, expanding its Event Intelligence capabilities.
These are two different things. One is super duper graph related, and the other is all about queries and Data Enrichment.
That means I have a lot of very interesting stuff to talk about lately, such as:
What’s a Knowledge Graph?
How do you preprocess text to get it ready for a Knowledge Graph?
What is an endpoint? What is MCP? What is a dataset?
In today’s article, we are talking about endpoints, MCP, and datasets. I don’t feel like explaining APIs and MCP right now more than saying that they are simply ways you and your AI agents can access data and tools. What kind of tools?
Well, most of you do not know how to create a text clustering algorithm from scratch or even what clustering models do. That’s just true of most people on planet Earth. It’s not an insult. People from all kinds of backgrounds read my blog, because this is not a techbro hypey blog. This is a weird blog where an old data jedi dude talks about Living Systems, Data Enrichment, Reverse Boycott Analysis, K_corona being like peeling an onion, Musical Scale Similarity, etc. I attract creative people from different backgrounds.
Anyway, yesterday, I wrote an article mentioning that I would be creating new datasets, API endpoints, and MCP tooling.
Read that to catch yourself up.
Today, I went further. Yesterday, I came up with the idea for several new datasets, and today I wrote the Cypher and Python code to actually create the new datasets. I made a few adjustments from the original plan (that is how engineering goes!), and I am happy with the results. In one day, I created ten new and different datasets that will be very useful for Event Intelligence, and I’ll be showing them off in upcoming articles, because they will make my life a lot easier and will lead to easier and cooler Data Science projects.
Every Marketing company on Earth should buy access to this.
The ones who understand competitive advantage will. In this article, I will mention other groups who should want this as well. It’s not just Marketing. This is useful data, even for Cybersecurity. “Oh yeah?” Yes. More on that in another article. Leave a comment if interested in the subject.
ChatGPT wrote this next part. I had it help me with some documentation, including writing about the usefulness of Event Intelligence and each individual dataset. You can see the output in today’s code.
If you are any of these things, you should get in touch with me. Venues, promoters, event organizers, artists, managers, booking agents, marketing folks, PR folks, media companies, local newsrooms, tourism companies and organizations, restaurants, OSINT folks, WHERE ARE YOU?!
Seriously, where are you? blinks
If you work in any of these fields, get in touch with me. If you are unsure how Event Intelligence applies to your work, I would be happy to help you explore the possibilities.
Let’s cut to the chase. I created ten new datasets, and they will soon be behind API/MCP, and I’ll also eventually sell them on Databricks or anywhere else that ends up being useful. Anyway, ten new datasets have been designed, and queries have been developed and tested.
As mentioned above, the search parameters are: Location, Start Date, End Date.
This is just raw event data by location and date. For this whole notebook, I ran these settings.
I can set location = ‘all’ if I want to see all of the data, or I can filter down to smaller and smaller locations. Think continent, country, state, city, town, building.
Anyway, I pulled the dataset using these parameters. I wanted to see what events happened in Oregon in August 2026, and so far there have been 1407 events. The month is not over, yet. New data arrives every hour.
This dataset simply shows you what has happened or will happen anywhere on Earth. For instance, if I had set the start_date and end_date to 2027, I would see events happening in August of next year. Can you do that with Instagram? Can you do that with Facebook? Can you do that with Perplexity or Claude? Do they give you datasets? No they do not. This is Event Intelligence, and you can tap right into it via API/MCP or direct database access. It’s not free.
Some of my early paying readers already have API keys. Their early support gave them access at pricing that is no longer available. Platform access remains open, but pricing now reflects the value and scale of the technology. Their $8/month contribution to me is giving them $1000/month of value. That is the selling price of a key. They will soon have access to these new endpoints.
I’m really excited about this next one, as it will be insightful for price analysis. How cool, to be able to analyze price differences by location and date as well as by venues and artists.
See those entities? Those are musicians and venues. I can see things with my eyeballs:
Hawthorne Theatre: $25 in advance
Medical Center: $250
Dante’s Live: $13.91 - $313.61
Star Theater: $7.23 - $42.72
Mekong Bistro: $25
Atlantis Lounge: $16.50
No Fun: $10
Open Space: $20 - $45
White Eagle Saloon: Free
Use your brainpower. Imagine I have a strong dislike of spending more than $15 to listen to music these days, which I do. What venues do you think I would like? I’ll take a swing at this:
Dante’s Live: on the right night!
Star Theater: on the right night!
Atlantis Lounge: for them, yes
No Fun: heck yes!
White Eagle Saloon: yep!
That’s funny. I did this ad hoc, right in front of you, and these are actually venues I like (Star Theater) and want to go to (Dantes Live, Atlantis Lounge, No Fun, White Eagle). I see them on GrooveSeeker all the time. I will do an article someday analyzing pricing. Maybe some of you would enjoy this.
With my data, you can analyze the entire world. In this example, I just showed you Portland, Oregon.
This just shows what locations exist in the database, and it is searchable.
If I search for Oregon, I see several locations. This is useful to know when doing dataset lookups. Now I know that I can search for just Oregon Zoo if I wanted. Cool! That is a place!
Entities are people, musicians, bands, DJs, as well as venues. In my current database design, I do not differentiate between different entity types, because I knew that I could make that addition whenever I wanted. I don’t need it right now, but it would be helpful down the road. Use semver, not bigbang. :)
Looks good! I don’t mind that one organization was picked up as an entity. They are! They hold events all the time! I know who they are. So, none of this is incorrect. Different event flyers and notices mention musicians differently. My Event Intelligence sees the same events mentioned on different websites, so occasionally there will be similar/same entities. It is not a mistake to leave them in. It is a mistake to prematurely remove them. With them in, I can do an analysis of how many different ways the same groups are named. Maybe someone out there is a huge fan of BRENN!!!!! instead of BRENN! lol
This shows entities that have been active in Oregon in August 2026. Cool!
This one is a little more descriptive than the previous one.
This one also includes the event_title. See, there were three separate listings for the same Brenn event, possibly from three different websites. Three different event titles for the same exact event:
BRENN! - AMATEUR AT BEST WORLD TOUR
Brenn!
Brenn! - Hawthorne Theatre - Portland, OR
Now I need to know who Brenn is.
That is Brenn. I just found out who he is right in front of you, and his event is at the end of the month. I could go to this show. Maybe I will.
Seems like they named their tour after this song, so maybe it is their hit. It sounds nice.
If I scroll up, I can see that tickets are $25 in advance and it looks like it is a Monday show. Maybe I’ll go. Look at this… I am explaining datasets to you while I accidentally do OSINT for music discovery in real-time right in front of you… Oops…
Cool band. I like this.
This tells a bit about pricing from an Entity perspective. In other words, if I wanted to analyze and compare ticket prices between Bad Bunny, Taylor Swift, Kid Rock, and Daft Punk, I totally could. You can do cool Data Science with my data. Put away those boring, stale, static Kaggle datasets and hang out with me instead.
Dope. Each entity is tagged with a price. That is appropriate. If we filtered this dataset to just Hawthorne Theatre, we’d see all of Hawthorne Theatre’s prices for August 2026. If we wanted to, we could learn about their pricing over the entire last year.
Yo venues, you should understand your competition. This is a no-brainer, again. Where are you?
This dataset is awesome and I’ve even written an article about it already, or maybe even more than one.
Do you see what that is? AI Engineers, let’s test your graph competency. Do you see what that is? Can you identify it? Look closely? What kind of list is it? Ed.. Edg… It’s a Bipartite Edgelist.
What can you do with a Bipartite Edgelist? Cool stuff.
Bipartite Projection. This is a Kaleidoscope. If you turn it to the left, you end up with a social network of entities that collaborate together. If you turn it to the right, you end up with a network of events connected through shared entities.
This is what the entity collaborations look like. Explore it.
And now, you will be able to buy access to this data. I won’t be the only person able to use it. The data is insane. It is incredible.
That big blob is the connected global music scene. The outer asteroids are artists who probably want to be a part of the connected global music scene but haven’t yet made a connection to the larger network. If you look at the core, you will see bands that we all know. If you look at the outskirts, you will see bands that almost none of us know. And with this data, you can understand who works together and why. This is incredible Event Intelligence.
Want to know what websites talk about events that happen in your region?
Now you can, and how often. See, allevents linked to two events happening on August 31, 2026, at 8 PM. It linked to one event that happens on the same day at 6:50pm. Can Instagram tell you that? Can Facebook? Can ChatGPT? Can Perplexity? Can Claude?
I’m playing at a whole ‘nother level. You should buy access. Or partner with me.
What websites talk about what bands, though? Who talks about Altar Girl? Is it the same websites that talk about Dead Kennedys or Green Day or Rancid?
Tell me, friends, which websites talk about Brenn? Tell me friends, which websites mention Atlantis Lounge? If you were Atlantis Lounge, wouldn’t you want to know who is talking about you? All of these folks should be aware that GrooveSeeker links to them.
LOL, while editing my article I was schooled by ChatGPT on Punk Rock.
Finally, we can see which websites promoted which events.
Kewl. I can see multiple websites promoting Brenn:
allevents
bandsintown
hawthornetheatre
Do you understand yet that this is OSINT data? This is what is happening on Planet Earth, before it has even happened.
Use your eyeballs. What day is it today. What day is that event happening? What websites talk about it? How many different ways is the event titled? What is the name of Brenn’s World Tour? When is his World Tour show in Oregon?
Look closely at what this reveals. The event has not happened yet, but we can already see its date, its different titles, the websites promoting it, and the name of the tour. This is OSINT data describing what is happening on Planet Earth before it has even happened. You should learn OSINT from me.
This. Is. Event. Intelligence.
Any questions?
GrooveSeeker and Verdant Eye give businesses, nonprofits, communities, Data Scientists, Citizen Scientists, Investigative Journalists, and Creative Engineers direct access to living intelligence for research, products, platforms, public service, and competitive advantage.
Platform access is open. Buy access and build something the world has never seen.
Also consider attending our training if you would like to learn how to investigate, analyze, and build with OSINT, Knowledge Graphs, AI, and GraphRAG. OSINT “Digital Detective” class starts next week, so get in fast or you will miss it.
Finally, please support my hard work. I am putting my entire mind and body into my work. I have lost so much weight that it bothers me. I have ground myself to dust to create important and useful things that I hope you will someday want to use.
Others have awakened to their usefulness and are using them, but I want more. I don’t build useful things so that 100 people will use them. I want a hundred million people to use them and for the world to actually get better. I will grind myself to dust—to the point that I literally evaporate—if there is any chance whatsoever that I contribute to a good future beyond this present dystopia. But if people never wake up, they never wake up.
So, do me a favor. Pick one or do several.
Upgrade your subscription to a paid account and help put food on my table.
Download GrooveSeeker so venues will listen to me.
Consider buying platform access for your company.
Consider attending my training.
Share my content with your network so that new people see it.
Any questions? We have a relationship here. I learn how to do things. I do them. I teach other people how to do them. The community rewards me for my efforts to bring awareness and insightfulness to others. That is how things should work, ideally. Community supports community. I am in need right now. Support me.
I played at One Horse Taphouse last weekend. Here is some free music for you. The people at that bar would have bought me an $8 beer. How about you? Upgrade your subscription and put a few dollars in my tip jar. Help me help you, and help me be able to feed my family.
Listen to this. They literally cheer for GrooveSeeker. A whole taphouse. Download it!
I loved this. I didn’t announce the title before I started playing because I wanted a certain reaction. I got it. Beautiful to hear the audience singing along.
My favorite song to play lately.
I collaborated with a local banjo player. That was so nice. I really enjoyed this.
Oh, and here is my GrooveSeeker Instagram page if you are into that.
I make musical, educational, fun, and sometimes annoyed videos over there. LOL
I hope you enjoyed this update. Please support my hard work.
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