ZachXBT Exposé: Axiom Exchange Staff Allegedly Misusing Internal Data For Trading

bitcoinistPublished on 2026-02-26Last updated on 2026-02-26

Abstract

Blockchain investigator ZachXBT has exposed an alleged insider trading and data abuse scheme at Axiom Exchange involving senior business development staff member Broox Bauer. According to the report, Bauer and others exploited weak internal access controls to monitor user wallets and trading activity through Axiom tools, using referral codes, wallet addresses, and internal IDs. Evidence includes audio clips and screenshots showing private user data being accessed and shared. A Google Sheet was used to track key opinion leaders' wallet information. The activity may fall under SDNY jurisdiction since Bauer is based in New York. Additionally, suspicious trades worth nearly $59,800 were placed just hours before the report was publicized, yielding $109,000 in profit. ZachXBT urged Axiom’s founders to conduct an internal review and take legal action.

After several days of online speculation, blockchain investigator ZachXBT has published the findings of a probe he first alluded to earlier this week, detailing what he describes as insider trading and internal data abuse at Axiom Exchange.

In a series of posts, ZachXBT identified Broox Bauer, known on X as @WheresBroox, as a central figure in the alleged scheme. Bauer is described as a senior business development employee at Axiom based in New York.

Alleged Wallet Lookups And Insider Trading Scheme

According to the investigation, Bauer and others exploited insufficient access controls on internal tools to retrieve sensitive user information and track private wallet activity, allegedly using that data to inform trades as far back as early 2025.

Audio clips shared as part of the report appear to show Bauer explaining how he could monitor any Axiom user through referral codes, wallet addresses or internal user IDs. In one recording, he claims he can “find out anything to do with that person.”

He also describes starting by reviewing 10 to 20 wallets and gradually expanding the scope over time “so it does not look that suspicious.” In another excerpt from the same private group call, Bauer outlines procedures for requesting wallet lookups and says he would provide a full list of tracked addresses.

The investigation cites specific instances of alleged misuse of internal dashboards. In April 2025, Bauer reportedly shared a screenshot from an Axiom internal interface showing private wallet information for a trader identified as “Jerry.”

In August 2025, he allegedly circulated another image displaying registration data and linked wallets for a trader known as “Monix.” That same month, he is said to have discussed conducting lookups on Axiom users who had traded the meme coin AURA.

According to the findings, the group compiled wallet addresses of multiple key opinion leaders (KOLs) into a Google Sheet. The document mapped out addresses gathered from Axiom’s internal dashboard.

Several KOLs named in the sheet or visible in leaked screenshots were contacted and independently confirmed that the wallet data attributed to them was accurate.

Axiom Case May Fall Under SDNY Jurisdiction

The report raises broader concerns about internal oversight at the exchange. It claims there was little to no effective monitoring or restriction on employee access to sensitive user data, regardless of whether senior figures identified as Cal or Mist were aware of the activity.

Given that Bauer is based in New York City, ZachXBT suggested the matter could fall within the jurisdiction of the US Attorney’s Office for the Southern District of New York (SDNY).

He stated that, regardless of whether criminal charges are ultimately pursued, Axiom’s co-founders should conduct a thorough internal review and consider legal action against any employees found to have abused their access.

Adding to the controversy, separate reports indicate that roughly three hours before ZachXBT publicly disclosed the alleged insider trading activity, a suspected insider placed bets totaling $59,800 using two newly created wallets.

Those trades reportedly generated nearly $109,000 in profit, further fueling concerns about the potential misuse of privileged information.

The 1D chart shows the total crypto market cap at $2.3 trillion. Source: TOTAL on TradingView.com

Featured image from OpenArt, chart from TradingView.com

Related Questions

QWho is the central figure identified in ZachXBT's investigation into Axiom Exchange?

ABroox Bauer, a senior business development employee at Axiom based in New York, known on X as @WheresBroox.

QWhat specific method did Bauer allegedly use to monitor Axiom users?

AHe exploited insufficient access controls on internal tools to retrieve sensitive user information through referral codes, wallet addresses, or internal user IDs.

QWhat evidence, beyond internal data access, was presented in the report?

AAudio clips where Bauer explains his monitoring process and screenshots from Axiom's internal interface showing private wallet information for specific traders.

QWhy was it suggested that the case could fall under the jurisdiction of the SDNY?

ABecause the central figure, Broox Bauer, is based in New York City, which is within the jurisdiction of the US Attorney's Office for the Southern District of New York.

QWhat additional event occurred just before the public disclosure that fueled concerns about insider trading?

ARoughly three hours before the disclosure, a suspected insider placed bets totaling $59,800 using two new wallets, which reportedly generated nearly $109,000 in profit.

Related Reads

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit25m ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit25m ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit25m ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit25m ago

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbit35m ago

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

marsbit35m ago

Trading

Spot
活动图片