Bullish Invests 250 BTC in Mezo - Bullish invested 250 BTC, valued near $19 million, into the Bitcoin DeFi protocol Mezo.

Stable Sea and WisdomTree Bringing Tokenized Treasury For Businesses - Stable Sea is integrating WisdomTree's tokenized money market fund, WTGXX, to allow corporate clients to deploy idle stablecoin balances for yield.

Under 1% of Wallets Take Half the Profits on Polymarket - Solidus Labs' report on Polymarket reveals extreme profit concentration, with fewer than 1% of wallets capturing approximately 50% of gains in key markets between December 2025 and February 2026.

Get a complete view of the largest gainers, losers, and topics with Messari’s Signals Tracker, based on mindshare and sentiment.

Asset

Mindshare%

Current Sentiment

1 Week Change

Litecoin

0.21%

Neutral

⬇️

Monad

0.55%

Neutral

⬇️

ApeCoin

0.45%

Bullish🐂

⬆️

Pepe

0.52%

Neutral

⬇️

Avalanche

0.14%

Neutral

⬇️

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Messari's protocol reports give you a deep dive on the foundation and state of top crypto protocols, including key metrics and notable events. See the complete list of protocol reports here and get a preview of our latest report below.

By: Austin Freimuth ·  @oztxn · Research Analyst
  • Bitget has made AI a core strategic pillar of its Universal Exchange (UEX) model. Rather than releasing AI as a standalone chatbot or trading tool, Bitget has built a broader product stack that applies AI to market analysis, trading workflows, developer infrastructure, and platform engagement.

  • Bitget’s AI Stack consists of four layers: GetAgent (analytics), Agent Hub (infrastructure), GetClaw (execution), and Gracy AI (strategic interface), all integrated within Bitget’s centralized exchange environment.

  • GetClaw extends the stack into autonomous execution by allowing users to define trading tasks in natural language and delegate monitoring and execution within Bitget’s platform. It represents Bitget’s primary consumer-facing implementation of agent-based trading.

  • Agent Hub provides the infrastructure layer that connects AI models directly to exchange-native trading functions. Through support for MCP, APIs, Skills, and CLI-based access, it enables programmatic interaction with market data, accounts, and execution systems.

  • GetAgent has surpassed 450,000 users, while Gracy AI reached more than 460,000 users and processed over 2.6 million replies within weeks of launch. These early adoption metrics demonstrate the strong demand for AI-native trading interfaces.

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