Do your launches still look like this?

If so, you need EQL

Meet the launch platform that doesn’t make you or your fans jump through hoops to prevent bots and bad actors.

EQL has analyzed more than 200 million signals across

14,000+ launches

We apply this data to every launch. To date, EQL has prevented 1 million+ products from landing into the wrong hands.

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EQL gave us a way to block bots and scalpers from interfering with the fan experience. It was a huge relief. Real fans got access, and we heard firsthand how much they appreciated the fairness.

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Mike Armstrong, SVP of Fanatics Events

Around 2019, I started to see bots taking over. I knew they were only interested in the resale value of the art, rather than appreciation for the art itself. This beautiful collectors vibe was being replaced by a cutthroat commercial vibe.

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Conor Hilton, Buyer at Toymate

EQL allowed us to reduce friction and cultivate trust. Customers felt confident that the process was fair, which is incredibly important to us.

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Zach Taylor, Founder, Found North

How it works

EQL takes an unconventional approach to bot mitigation.

Get Entries

Let everyone in

EQL silently accepts every entry and analyzes signals on the back end, leaving bad actors wondering if they were detected or just unlucky.

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Suss out Sus behavior

Suss out sus behavior

Analyzing a massive number of signals gives us a holistic picture of each entrant. Every time an entrant tries to game the system, their chances get lowered.

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USING AI

Layer AI & human intelligence

Our internal fraud and abuse engine uses a mix of AI along with human-powered learnings from past launches to paint a clear picture of who’s a real fan and who isn’t.

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Case Study

Giving art back to the people with Chuck Sperry

In March of 2023, bots descended upon Chuck Sperry's website, generating a staggering 2.3 million automated refreshes in just two minutes. The surge caused it to crash. He promised his fans he’d find a solution, and within just a few months, he delivered on that promise through EQL.

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Case Study

Wynyard Coin Centre renews passion through fair launches

Wynyard Coin Centre has been a pillar of the numismatist community since 1966. However, in the last year, Wynyard’s staff began to notice it wasn’t just collectors or hobbyists that were clamoring for their coins. Read how EQL brought fairness back to their community

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Case Study

How Toymate brought order to Pokémon chaos

Toymate sought a solution to not only improve the experience around Pokémon releases for their fans but also protect their stock from bots and bad actors.

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Case Study

How GradedGuard protects its drops (and its fans) with EQL

As GradedGuard grew in popularity, its limited releases began drawing the same hype — and the same problems — as the in-demand trading cards they protect.

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FAQ

How is EQL’s bot mitigation different from competitors?

Check out this blog from our CEO, Andrew Lipp, on why EQL’s approach to bot mitigation bucks convention.

How does EQL block bots if you accept every entry?

Unlike queuing and other solutions for high-heat launches, EQL lets everyone in, and then analyzes multiple signals of that entrant's behavior before choosing successful entries. This gives us a much clearer picture on who is playing fair, and who is using suspicious mechanisms on entry.

How does EQL prevent duplicate entries?

We relay on our proprietary back-end tech to filter out duplicate entries by looking at multiple signals per entrant, making sure only those who play by the rules (of one entry per person) are selected.

Protect your launches 
from chaos with EQL