Putting SERV in the hands of every agent builder is how we become the reasoning layer for the agentic economy. Here’s a clip anyone building AI agents should see. Stop paying frontier-model prices for reliable agent outputs. Get your API key: Most agent teams are forced to choose: expensive models for consistency or smaller, cost-efficient models with unpredictable results. SERV Reasoning changes that. Run your agents on smaller models while getting frontier-level reliability with outputs you can inspect, audit and explain. One integration. Every model performs better. No tradeoff between reliability and affordability. One API key to rule them all. The SERV Reasoning API is live. Build with SERV.

SERV Reasoning API is now live: specialized AI models to make agents smart and reliable. Pair SERV Reasoning models with @CoinbaseDev AgentKit to build enterprise-grade onchain agents for DeFi, trading, commerce, payments. Join the hackathon:

Jev looks like a really natural fit for graph sharding in OpenServ v3. Graph sharding already lets us intelligently break down and route execution across large agent graphs, but having a decision layer this fast and cheap could make those routing decisions dramatically more efficient — potentially allowing us to make many more intelligent decisions throughout execution without paying the latency and cost of additional LLM calls. We’re definitely looking at integrating it.

The real test of agent infrastructure begins when developers use it in ways you did not anticipate. That is why I am excited about the 1st SERV Reasoning Hackathon. For the next two weeks, developers will build agents, workflows and products with SERV Reasoning across four different tracks. For us, this is an opportunity to see how the infrastructure performs across new ideas, workloads and edge cases. As we work toward Graph Sharding, self-improving intelligence and task-specific models, what developers build and discover will help shape where we go next. If you are building agentic systems, I would be happy to connect, hear what you are working on and help get you started with SERV.

The 1st SERV Hackathon is live. Two weeks to build with SERV Reasoning and get rewarded. Get hands-on early before SERV v3/v4 brings graph sharding, self-improving intelligence, and task-specific models. Submissions close Sept 28. Pick your track:

Every team building agents has been solving the same three problems in isolation: reliability, cost, auditability. Now it's an API call. Where it gets interesting is when those agents need somewhere to put capital. Curious what people build with IXS Vaults on the SERV stack.

I’ve been building agentic systems since their dawn, and I know how difficult it is to make them reliable, deterministic, and cost-efficient. For years, we have been told that better reasoning requires bigger models, longer chains of thought and higher costs. We accepted that trade-off almost by default. BRAID questions that assumption. With structured, bounded reasoning, we have already demonstrated up to 74x efficiency gains and around 30x better performance per dollar without losing accuracy. This means enterprises can roll out reliables agents at scale, while keeping their costs under control. Now any developer can access it using the OpenAI or Anthropic SDK you already use. Change the base URL, add your SERV API key and continue building. V3 will bring Graph Sharding for compliant, auditable and accountable agentic systems operating at enterprise scale. If you are building agents, try it. Push it to its limits. Tell me where it fails and what problems you need us to solve next. My DMs are open.

I don’t think many understand how big the opportunity in front of @openservai is. Every company is going to operate with teams of AI agents. Those agents will need to reason, coordinate and execute millions of tasks across critical parts of every business. Today we made the SERV Reasoning API public. This is the point where we begin to open up everything we have been working towards. I have always believed that AI will completely change what it means to build and operate a company, and the public API is the first major step to this next era. V3 and V4 will start showing how much bigger the full vision really is. Very proud of the team and extremely bullish on what comes next. SERV.

Everything we’ve done so far was preparation for this. Today, we open access to production-grade AI reasoning for every team. SERV Reasoning API is now live. This unlocks next stages: SERV v3→v4. Make your first API call & check 26/27 milestones:

SERV Reasoning Public API is now ready. All that we’ve built so far, led here. We’re aiming to put the engine at the center of the agentic AI world and make SERV a household name. This unlocks what comes next: V3, V4, and our own model architectures. Going live in 3... 2...

As part of our ongoing plans to integrate with @base ecosystem & Base AI scene, we have migrated protocol assets to Aerodrome incentivized pools. $SERV pools on Base are now eligible to receive emissions on AERO: deeper liquidity, lower slippage, and better capital efficiency. (Information for SERV holders: There is no action required for $SERV token holders, there is no new token)

Robotics is another industry running on SERV. @Roba_Labs compared SERV to Claude across 40 tasks on a Unitree G1 Humanoid: file edits, sim-to-real workflows, robotics asset packaging. "SERV matched Claude's output quality - and cut our AI costs by over 80%. That benchmark result changed our roadmap. serv-standard is now the default model in ROBA Studio." - Farid Hossain, founder of Roba Labs