Balancer TVL on Arbitrum reaches $150 million

**AI agents can now interact with Balancer directly through Base MCP integration.** The new capability allows agents to: - Swap tokens onchain - Provide liquidity to pools - Build and submit transactions automatically Users simply describe their desired action in plain language, and the agent handles the technical execution. All transactions require user approval before submission. This integration extends Base MCP's existing functionality, which already supports transfers, swaps, lending, and borrowing across major Base applications.

Tokenized real-world assets have reached $28.9B in value, marking the tenth consecutive month of record growth. More than half of this total consists of tokenized US treasuries. **Key developments:** - Government bonds and stocks are being issued offchain and represented as onchain tokens - Asset managers are moving billions into tokenized government debt - The focus on conservative instruments signals growing confidence in blockchain infrastructure **The liquidity challenge:** Tokenization is just the beginning. The critical question is how these assets can trade, maintain liquidity, and integrate with other assets in unified positions. AMM pools address this liquidity problem, with solutions like Balancer's weighted pools enabling automatic rebalancing across mixed tokenized asset portfolios. The infrastructure to support these assets onchain is operational, with new tokenized assets arriving monthly.

Balancer V3 has launched **AutoRange Pools**, a concentrated liquidity solution that automatically adjusts price ranges without manual intervention. **Key features:** - Liquidity providers deposit once; the pool manages range adjustments automatically - No oracle dependency or third-party managers required - Positions are standard ERC-20 tokens (not NFTs), enabling use as collateral and in governance - Range shifts based on the pool's own trading activity when price crosses a threshold - Designed for established pairs with real volume **Target users:** - DAOs and treasuries seeking autonomous liquidity management - Passive LPs wanting concentrated liquidity efficiency without maintenance overhead - Protocols needing oracle-free, composable liquidity primitives The system addresses three core problems with traditional concentrated liquidity: constant range management, NFT fragmentation, and JIT bot attacks. Two audits (Cantina and Certora) were completed before launch. Balancer offers simulations for token pairs before deployment to assess fit. [Learn more]( https://docs.balancer.fi/concepts/explore-available-balancer-pools/autorange-pool/reclamm-pool.html) | [View pools](https://balancer.fi/pools?poolTypes=AUTORANGE)

Balancer V3 has deployed a three-token stablecoin pool on Monad, combining AUSD, USDC, and USDT0 in a single liquidity pool. **Key Features:** - First three-stablecoin pool enabled by Balancer V3 technology - Provides deep liquidity for AUSD stablecoin - Combines swap fees with lending yield for liquidity providers - Operates as both a stable and boosted pool The pool is now live and accessible at [balancer.fi](https://balancer.fi/pools/monad/v3/0x2daa146dfb7eaef0038f9f15b2ec1e4de003f72b). This deployment showcases V3's capability to handle multi-token stable pools, offering traders tighter spreads and liquidity providers additional yield opportunities beyond traditional two-token pairs.

**Monad's infrastructure breakthrough enables complex DeFi operations at scale.** The platform delivers: - **Sub-second finality** for near-instant transaction confirmation - **Parallel execution** allowing multiple operations simultaneously - **Cost-efficient multi-token pools** that remain practical at scale This technical foundation removes the latency and cost barriers that previously made complex pool operations inefficient on other chains. The infrastructure is purpose-built to support ambitious DeFi protocols requiring high throughput and low costs. Monad's approach addresses a core challenge in decentralized finance: maintaining performance as complexity increases.