Former New York Mayor Involved in Rug Pull Allegations: On-Chain Investigation into NYC Token

marsbitОпубліковано о 2026-01-15Востаннє оновлено о 2026-01-15

Анотація

Former New York City Mayor Eric Adams faces allegations of a "rug pull" following the launch of the NYC token. Shortly after its debut on January 13, the token’s value plummeted over 80% when the liquidity pool creator address (9Ty4M4t9MZArhJBKFWbYrzeqdMf2Ua5eHWSRW3LXKyGt) removed approximately 2.377 million USDC just 30 minutes post-launch. This caused the token’s market cap to crash from a high of $600 million to under $100 million. Beosin’s on-chain analysis traced the initial funding to a Mayan bridge and Kraken. After the crash, the same address began making small purchases of NYC tokens, but the price only recovered to around $0.133. The address still holds 1.332 million USDC, resulting in an estimated profit of $330,000. Adams denied personal profit or involvement in removing funds. However, the analysis confirms liquidity manipulation, with only about $1 million returned to liquidity after $2.37 million was withdrawn. This incident highlights the significant risks associated with celebrity-backed tokens.

Author: Beosin

On January 13-14, former New York City Mayor Eric Adams faced significant scrutiny after the token he launched, NYC, experienced a sharp price drop shortly after its release. The Beosin security team conducted a detailed on-chain analysis of the incident and shares the findings below:

Event Overview

On January 13, Beijing time, former New York City Mayor Eric Adams announced the launch of the NYC token (token contract address: Ho5fkxk9uqUuVN5kt7TUFacduWCpKPAuYkM9HD3KAXA2) on social media. However, just 30 minutes after the token went live, the address that created the liquidity pool, 9Ty4M4t9MZArhJBKFWbYrzeqdMf2Ua5eHWSRW3LXKyGt, began removing liquidity:

https://solscan.io/account/9Ty4M4t9MZArhJBKFWbYrzeqdMf2Ua5eHWSRW3LXKyGt

This address removed approximately 2,377,376 USDC, causing the price of the NYC token to plummet by over 80%, and its market capitalization to shrink from a peak of $600 million to less than $100 million.

https://ave.ai/token/Ho5fkxk9uqUuVN5kt7TUFacduWCpKPAuYkM9HD3KAXA2-solana

On January 15, Adams continued to promote the NYC token by retweeting related posts and issued a statement through his representative, Todd Shapiro, claiming that he did not profit from the NYC token and did not withdraw any funds from it. However, the community remains skeptical.

On-Chain Data Analysis

Using BeosinTrace to analyze the Solana address 9Ty4M4t9MZArhJBKFWbYrzeqdMf2Ua5eHWSRW3LXKyGt, we obtained the following results regarding its on-chain activities.

1. On-Chain Activity Overview

The address 9Ty4M obtained 1,000,001 USDC from the Mayan cross-chain bridge and a Kraken user address, then created the NYC-USDC liquidity pool. After removing liquidity at 6:43 Beijing time on January 13, which caused the price to crash, the address 9Ty4M began making small purchases of NYC tokens starting at 16:15 on the same day, continuing to the present.

Further tracing of the cross-chain funds reveals that they originated from the Arbitrum address 0xBc985b167C5F3801B19E2Dec7082c2fcbBF07e91. Continuing the trace, it was found that 90% of these funds were withdrawn from Kraken, while 10% came from an unknown multi-chain active trading address, 0x276fbb81c8a7567ad2412469a549bd4dc82cab65.

2. Transaction Data Analysis

According to BeosinTrace data statistics, the address 9Ty4M has purchased 2,301,250 and 1,566,926 NYC tokens via the addresses FWuiWEdkcR1NLPjozcEuErtGGDZG5kyPu3oszmnF8uni and H7Lnoh82SZghsXmoqffoCiFz7U3D1cwZ8ZPjRUMU7fc5, respectively, on Jupiter. However, the price of NYC has only recovered to 0.133-0.134, with a total market capitalization of approximately $130 million.

Currently, the address 9Ty4M still holds 1,332,243.85 USDC. Excluding any gains from NYC tokens, this address has profited by approximately $330,000 due to the limited liquidity of the NYC token.

Conclusion

This celebrity token launch has once again sparked significant controversy. Token issuance itself involves risks related to compliance, technology, and fund security. The removal of liquidity, which led to a sharp decline in the token's price, has negatively impacted investors and the market.

The on-chain analysis using BeosinTrace confirms the existence of "liquidity manipulation" behavior. After withdrawing $2.37 million in liquidity, the issuer continued to make purchases but only returned approximately $1 million, with the remaining $1.33 million still held in the issuer's address. Users should enhance their security awareness and avoid trading such high-risk, easily manipulated tokens. Beosin will continue to monitor the token's liquidity situation and the fund movements of related addresses to safeguard users' funds.

Пов'язані питання

QWhat is the main controversy surrounding former New York City Mayor Eric Adams and the NYC token?

AFormer NYC Mayor Eric Adams is facing controversy after the NYC token, which he promoted, experienced a price crash of over 80% shortly after launch. This occurred when the address that set up the liquidity pool removed approximately 2.38 million USDC, leading to accusations of a 'Rug Pull'.

QWhat on-chain evidence from BeosinTrace suggests a 'liquidity manipulation' in the NYC token incident?

ABeosinTrace analysis revealed that the address '9Ty4M...' removed liquidity worth about 2.38 million USDC 30 minutes after the token launch, causing the price to crash. Later, the same address began buying back NYC tokens in small amounts, but only returned approximately 1 million USDC worth of value, while 1.33 million USDC remained in their wallet, indicating a net withdrawal of funds.

QWhat was the source of the initial funds used to create the NYC token liquidity pool according to the investigation?

AThe investigation traced the initial 1,000,001 USDC used to create the liquidity pool. It originated from the Mayan cross-chain bridge and a Kraken user address. Further tracing showed these funds came from an Arbitrum address, with 90% withdrawn from Kraken and 10% from an unknown multi-chain active trading address.

QHow did Eric Adams and his spokesperson respond to the allegations regarding the NYC token?

AEric Adams continued to promote the NYC token after the incident. His spokesperson, Todd Shapiro, stated that Adams did not personally profit from the token and did not remove any funds from it, though the statement did not alleviate community skepticism.

QWhat is the current status of the address that removed the liquidity, and what is their estimated profit?

AThe address '9Ty4M...' still holds 1,332,243.85 USDC. After accounting for the value of the NYC tokens it bought back, the investigation estimates the address has a profit of approximately $330,000 from this activity.

Пов'язані матеріали

IPO Imminent, OpenAI Faces Major Personnel Upheaval

OpenAI, preparing for a potential IPO, is experiencing significant leadership turmoil. In mid-August 2026, longtime "GPU geek" Scott Gray quietly left, and within three days, Chief Operating Officer Brad Lightcap (8-year veteran) and Chief Revenue Officer Denise Dresser (8-month tenure) departed. This follows a broader exodus of at least 10 senior executives in 2026, including heads of product, safety, and ethics. Analysts view this as a strategic "surgery" to transform from a research lab into a sales-driven enterprise company before going public. Revenue now tilts toward enterprise clients, surpassing consumer income sooner than expected, with annualized revenue reaching $40 billion. The new CRO, Dali Rajic, is a veteran enterprise sales leader. Concurrently, OpenAI has disbanded independent safety teams like "Preparedness," which assessed catastrophic risks, integrating their functions into core research. Critics warn this removes dedicated "brakes" on AI development. The leadership vacuum raises questions about who is the clear second-in-command after former apps CEO Fidji Simo moved to an advisory role. Co-founder Greg Brockman appears to be consolidating power. As OpenAI races against rival Anthropic ($47B annualized revenue), it faces the dual challenge of commercial execution while managing the departure of foundational technical talent and ensuring responsible AI development remains a priority.

marsbit1 год тому

IPO Imminent, OpenAI Faces Major Personnel Upheaval

marsbit1 год тому

AI Can 'Have Moods Too'! New Research from USTC: Confusion and Anxiety Make AI Work Better

The article discusses research from the University of Science and Technology of China and Oxford, revealing that allowing AI to recognize and act upon simulated "internal emotions" can significantly improve its performance. The study demonstrates a coherent pairing between specific emotional states in AI agents and their subsequent skill choices. For instance, an agent feeling curious and desirous will search for products, while one feeling confused and tense will rephrase queries. This mirrors human decision-making influenced by emotions. Statistical validation showed a 76.5% semantic consistency in these pairings. Crucially, the research challenges the traditional view of AI errors as flaws to be eliminated. It found that "bad" emotions like confusion, tension, or frustration serve as useful metacognitive signals, indicating a mismatch between the current strategy and the environment. By responding to these signals, AI can proactively adjust before a failure occurs. This is particularly effective in complex tasks prone to failure. For example, in tasks like "heating an item" and "picking up two items," success rates surged from 9.6% to 56.9% and 4.4% to 31.3%, respectively, when using the emotion-driven skill selection method (EMOTION2SKILL). The AI's "nervous" state about a closed microwave, for instance, prompted it to check and open it first, preventing failure. The article also mentions related work from Tianjin University, which embeds emotional prediction into world models (Large Emotional World Model, LEWM), significantly improving prediction accuracy in human-centric environments. Removing emotional data was found to degrade performance even in unrelated logical reasoning tasks. These studies build on earlier findings, like those from Anthropic, that identifiable emotional representations exist within large language models (LLMs). The focus is shifting from philosophical debate about AI emotion to practically harnessing these internal states as functional signals to enhance AI robustness and capability.

marsbit2 год тому

AI Can 'Have Moods Too'! New Research from USTC: Confusion and Anxiety Make AI Work Better

marsbit2 год тому

Торгівля

Спот
活动图片