December 2025 monthly summary for DefiLlama-Adapters: Focused on expanding liquidity options and enabling scalable cross-chain event handling. Key features delivered include new trading pairs and a refactored multi-chain event configuration. No major bugs reported; all changes are traceable to commits.

November 2025 monthly summary focusing on key accomplishments, with emphasis on delivering cross-network MONAD support and expanding data coverage across adapters. The work contributed to business value by enabling MONAD data access and cross-network interoperability within the DeFiLlama ecosystem.

October 2025 (2025-10) monthly summary for DefiLlama-Adapters. Key features delivered: - 0g Network Event Tracking Integration: Added kernelEventEmitter configuration for the 0g network in index.js to enable correct event tracking and data collection for 0g transactions. Commit: 795cfad7c1c0057e5d6be7c9d1e6e63f7a7f623c (#16785). Major bugs fixed: - No major bugs fixed this month. Overall impact and accomplishments: - Expanded data visibility to include 0g network events, improving accuracy and completeness of cross-network analytics. - Established a stable foundation for future dashboards and metrics around 0g activity, supporting business decisions and user insights. Technologies/skills demonstrated: - Node.js configuration and event-tracking patterns (kernelEventEmitter usage) - Cross-network integration readiness for multi-repo analytics - Git-based change management and commit traceability (e.g., commit 795cfad7c1c0057e5d6be7c9d1e6e63f7a7f623c)

September 2025 monthly summary: Focused on expanding Sui ecosystem support across DefiLlama adapters to improve cross-chain visibility and data fidelity for Sui-based pools. Delivered core features for Sui TVL tracking and Sui network tracking in Skate AMM, complemented by data retrieval refactors and a stable API endpoint update to enhance pool statistics accessibility. These changes enable accurate TVL and per-token analytics for Sui, improving analytics reliability for users and partners. No explicit bug fixes were documented in this dataset; emphasis was on feature delivery and API stability.