System Update: Take Control of Your Money with Coinbase
Jun 16, 2026
Today, we’re launching several new products that further our mission of creating the Everything Exchange and being the most intelligent financial services app in the world.
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Read and watch the latest ecosystem news, insights, and resources
Singapore Sees 43% Drop in Crypto Scam Losses and Partnerships Like Ours Are Helping Drive the Change
Coinbase
Oct 13, 2026•2 min read
TL;DR: Singapore’s crypto scam losses fell 43% year over year, from S$114.9 million to S$65.5 million, as a result of stronger enforcement, public education, and partnerships between the Anti-Scam Centre and industry leaders like Coinbase. Through four joint operations, Coinbase’s Global Intelligence team helped identify 720+ victims and prevent more than S$18.9 million in potential losses, while a new anti-scam awareness campaign reached Singapore retail customers.
Part 3/3 Owning Intelligence Series: How Coinbase Built, Evaluated, and Post-Trained a Fraud Agent
Yao Ma, Xuwei Tan, Akshit Trehan, Aman Choudhary, Anyscale Team: Eric Tang, Sumanth Hegde, Seiji Eicher, Jess Kong
Oct 8, 2026
TL;DR: Using SkyRL on Anyscale, we post-trained Qwen3.5-9B for Onramp fraud detection and served it with Ray Serve LLM and vLLM. On our benchmark, it exceeded Opus 4.5 across all four detection metrics, including 9.6% higher F1. In online inference, we reduced end to end latency by 55%.
Coinbase and Samsung Bring USDC to Samsung Wallet
Alec Lovett
Oct 8, 2026•2 min read
TL;DR: Coinbase will power USDC as the default dollar stablecoin in the Samsung Wallet, alongside a licensed partner. USDC balances will be custodied by Coinbase Prime Vault
Coinbase Is Building the Most Complete Trading Platform
Our integration of Deribit is complete, and for the first time in market history, Coinbase Financial Markets will soon connect US and global crypto derivatives into a single regulated liquidity pool.
Part 2/3 Owning Intelligence Series: How Coinbase Built, Evaluated, and Post-Trained a Fraud Agent
Yao Ma, Xuwei Tan
Oct 7, 2026
TL;DR: Newer LLMs are not necessarily better at domain-specific tasks. On our fraud benchmark, newer Opus, Sonnet, and GPT versions all had lower recall, F1, and dollar-weighted recall—even when precision improved. The lesson: choose models using high-quality, domain-specific benchmarks, with reproducible evaluation and ideally deterministic scoring against verified outcomes. These findings also motivated our next step: post-training open-weight models for greater control over quality, cost, and deployment.
Part 1/3 Owning Intelligence Series: How Coinbase Built, Evaluated, and Post-Trained a Fraud Agent
Yao Ma, Bo Lei, Xuwei Tan
Oct 6, 2026
TL;DR: How Coinbase built, evaluated, and post-trained an Onramp fraud agent to achieve 9.6% higher performance (F1 score) and 55% lower end to end latency than frontier models.