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We just solved the $50B problem in AI 🧵
Your ML models are brilliant. But they're locked away because distribution is impossibly hard.
Not anymore.
Spartera's AI Connector: Monetize any model without moving it off your infrastructure.
Here's how it works:
Banks are now blocking outside AI agents. One using your login looks exactly like you, with no record of what it did.
Your agents have the same gap.
We’re building Finestra: 1 record of what every AI agent did across vendors.
Take a first look, built from our own tests 👇
Spartera retweeted
I’ve introduced the Weekly Health Score with @ThisIsSpartera.
It rates team health from 0-100 after final injury reports.
The #Bills enter Week 2 at 91.2, while the #Lions are at 81.8.
Run your own analytics:
marketplace.spartera.com/pro…
Spartera retweeted
Here’s the play probability for Thursday for #BUFvsDET
For Bishop, small sample size going Full to Limited.
If he is full tomorrow, 100% play, if limited, remains the same.
Bills players with illness almost always play.
@ThisIsSpartera marketplace 👇
marketplace.spartera.com/sel…
Spartera retweeted
Here’s what the play probability of each player on the Monday injury report for #Bills vs #Lions looks like for Thursday’s game.
To see how those chances 📈/📉 through the week, check out the @ThisIsSpartera marketplace for a variety of other products.👇
marketplace.spartera.com/sel…
🤖 Made with AI
Sellers keep their business logic. Buyers get uniformity. The interoperability layer between them is Spartera.
Not a marketplace feature. The whole market thesis.
API license. Annual contract. Snowflake share. Databricks Delta Sharing. SFTP. Clean room. Freemium. Data co-op. Bounty.
Nine different ways to buy the same category of thing. That's the data industry today.
Buying enterprise data in 2026 means 15+ different business models - each with its own contract, pricing, auth, invoice.
Spartera coalesces all of them into one. Not a feature. The whole market thesis.
An AI agent can find the right data source and still be stuck at the checkout.
It can't sign an MSA. Can't sit through a security review. Can't negotiate an annual floor.
Data-buying friction isn't a slowdown for agents. It's a hard wall.
The API industry spent 15 years standardizing how APIs are CALLED.
~0 years standardizing how they're BOUGHT.
The calling problem is solved. The buying problem is as broken as it was in 2010.
Passthru standardizes the half nobody did.
$12.5B spent on foundation model APIs in 2025. Up from $1.7B two years earlier.
Fastest-scaling software category on record - because every provider converged on the same purchase pattern.
Data APIs never did. That's what Spartera Passthru fixes.
spartera.com/blog/passthru-a…
The DFS operators who win Week 1 don't do it with better instincts.
They do it with better data 3 weeks before Week 1.
BangedUpBills has 23 NFL analytics on Spartera. Injury patterns, actual rehab windows, snap-count trends.
The prep window is closing.
15 days until NFL Kickoff.
Seahawks-Patriots Super Bowl LX rematch to open.
Fantasy drafts this weekend. DFS models locking in.
If your data isn't sorted by Friday, you're already behind.
You shouldn't have to buy something to find out whether it works.
marketplace.spartera.com/pro…
Spartera retweeted
Brady giving vague injury updates now, but pretty good at spotting movement patterns, tape/bracing, or rehab exercises.
I also have my injury database with @ThisIsSpartera to look at historically how the #Bills & other teams manage injuries.
marketplace.spartera.com/sel…
Queries run against the seller's live data. Not a copy we made months ago.
What you pull is what the source holds right now.
marketplace.spartera.com/pro…
Run the analysis before you pay for it.
Preview shows you the real output on a small sample. Then you decide.
Every other market lets you compare before you commit.
Data is the only one where you're expected to commit in order to compare.
Search it. Filter it. Put two providers side by side. Read the ratings. Ask the provider a question and get an answer on the page.
Then decide whether you want it.






