AI Agent Eco Platform AgentLayer has completed its second token burn and is about to launch the Agent Launchpad, with ongoing airdrops and staking rewards.
Source: AgentLayer

In order to further enhance the value and scarcity of AGENT, AgentLayer successfully completed its second token burn on December 30, 2024, burning a total of 487,000 tokens. This burn once again reduced the circulating token supply. AgentLayer had previously completed the first burn on November 30th in Singapore time. The combined burns accounted for 0.149% of the total token supply, significantly boosting market confidence in the value of the AGENT token.

Source Document
The AgentLayer Airdrop Season 2 aims to reward AgentLayer's most loyal community members, including AI Agent product users, AGENT holders, APGN node holders, community contributors, and active participants in Testnet Phases 1 and 2. The airdrop snapshot was completed on October 30, 2024, and eligible participants can claim their rewards on the official Airdrop page from December 29, 2024, 00:00 UTC to March 29, 2025. The airdrop distribution will follow a 6-month vesting plan to ensure that everyone gradually receives their due rewards, sharing the benefits of the project's growth.
The Stake MAX event launched simultaneously with Airdrop Season 2, providing a three-month window for wealth accumulation. During this period, staking AGENT tokens offers the opportunity to earn up to a 200% APR. Early APGN node investors have already recouped most of their investments, while token holders benefit from increased token scarcity and demand. Since its listing on September 18, 2024, AGENT has been listed on major trading platforms including Gate.io, BingX, Bitpanda, and Uniswap, with Bitrue also listing it. AgentLayer plans to expand its global market footprint by listing on more European boutique exchanges in Q1 2025.
AgentLayer aims to build a decentralized AI collaboration network as the underlying protocol layer for the future Agent economy. By providing a cross-chain interoperability protocol and rich development tools, AgentLayer supports the rapid construction, deployment, and management of AI Agents. AgentLayer is about to introduce the Initial Agent Offering (IAO) model, allowing users to collectively own and benefit from AI-driven virtual assets. AgentLayer will launch an accelerator program, providing comprehensive resources for AI Agent projects, including milestone rewards, community building support, and deep ecosystem collaboration.
This article is contributed content and does not represent the views of BlockBeats.
You may also like

Tether's major shareholder invests £12 million to support the "British version of Trump" in the cryptocurrency sector

Huang Renxun's Latest Podcast: Will NVIDIA Reach $1 Trillion? Will the Number of Programmers Increase Instead of Decrease? How to Deal with AI Anxiety?

Besides Resolv Hack, This DeFi Vulnerability Type Has Occurred Four Times

Trump Cries Peace, $1.5 Billion Dash | Rewire News Evening Brief

From x402 to MPP: Cloudflare's crucial vote, will it go to Coinbase or Stripe?

BlackRock CEO issues annual open letter: The wave of tokenization has arrived, and we will lead this trend

When Backpack backstabs the community

When gold is no longer a safe haven, and Bitcoin continues to panic

Trump, the World's Largest Oil Trader

If the US and Iran have not reached an agreement in 5 days, what other cards does Trump have?

Tether Whale Dumps £12 Million, Backing Crypto’s ‘British Trump’

Ethereum Foundation Post: Rethinking the Division of Work Between L1 and L2 to Build the Ultimate Ethereum Ecosystem

Two Major Prediction Market Platforms Unite Rarely, What Is the Story Behind This New Fund?

Dragonfly Partners: Most agents will not engage in autonomous trading, how can crypto payments prevail?

US AI Startup Goes All In on Chinese Mega-Model | Rewire News Morning Brief

Trump Lies Again: A "Five-Day Pause" Psyop, How Wall Street, Bitcoin, and Polymarket Insiders Synced Uposciogen

When a Token Becomes Labor, People Become the Interface

