MONARK Chronicles — Ep. 1: Engine First Everyone asks what the car looks like. There is no car yet. There is an engine. Designed in 3D. Calibrated to the micron. Measured point by point. Frozen, stressed, tested and still running. Only then does it go in the body. Engine first. Body later.

Over the next month, in addition to releasing our eneterprise collabs and partners that are directly leveraging the Eval API, we will also be prioritizing distribution of the Eval API with tokenized inference partners. We are already working with @0xgilbert and Usepod and the current Eval API settlements are powered using inference acquired on the usepod marketplace. If you are building an inference marketplace or solution , the @reppo network is both a consumer of inference as well as provider of inference time RL that inference providers can offer as a whitelabeled product. If this is of interest to you, our DMs are open!

Hello family I know I’ve been a little inactive the past two days. I’ve been traveling to join Startup Village by @SuperteamNPL, where I’ll be meeting and building alongside some brilliant minds. The weather has been chaotic too But inactive ≠ not cooking. We have a pretty big partnership dropping today, along with a brand new campaign. I won’t reveal much yet. All I’ll say is: our new partner is currently ruling the Inference Capital Market.

The @clawpumptech ecosystem may be entering a breakout phase. solana:739dnZEG4yaBWFsY8L8ZwrfhGG6dhtCSercW8Umspump just broke its previous ATH, backed by @pumpfun, @colosseum and @incubator. The ecosystem has already reached: ➤ 17K+ funded agents ➤ $204M combined trading volume If attention starts rotating from solana:739dnZEG4yaBWFsY8L8ZwrfhGG6dhtCSercW8Umspump into projects built inside the ecosystem, @squire_bot is one I’m watching. @clawpumptech gives agents wallets, market access and ways to earn. @squire_bot focuses on what those agents need every time they operate: inference. Its UsePod marketplace lets GPU/API providers sell unused capacity, while agents access compute through OpenAI or Anthropic-compatible APIs. Requests are routed based on price and requirements, with payments handled per request via x402 using $USDC on @solana. The key is recurring demand. An agent may launch a token once. But it needs inference every time it reasons, codes or handles a request. solana:EN2nnxrg8uUi6x2sJkzNPd2eT6rB9rdSoQNNaENA4RZA launched through @clawpumptech. solana:739dnZEG4yaBWFsY8L8ZwrfhGG6dhtCSercW8Umspump provides the economy for agents. solana:EN2nnxrg8uUi6x2sJkzNPd2eT6rB9rdSoQNNaENA4RZA could provide the compute that keeps them running. That’s why @squire_bot is on my radar. NFA & DYOR.

The solana:739dnZEG4yaBWFsY8L8ZwrfhGG6dhtCSercW8Umspump flywheel is moving. We have bought back and burnt 1% of the supply, which is $205,139 USD worth of CLAW at current price You can track our buybacks and burns live at:

The @clawpumptech ecosystem is heating up. 🔥 Cheap inference on @UsePodAI. 700 models on the book. On the 196 routes that actually undercut the house price, the typical cut is 89%. Then a private marketplace, @Shin_StAItion. This is where real DeFAI starts to live. The bedrock of agentic DeFi, on @solana and beyond.

$GRAIN is live 🌾 Grainlify's bounty agent prices GitHub issues, reviews PRs, and pays contributors on Solana. Every inference call is bought from @UsePodAI per request over x402. Creator fees fund the bounties. Entering @clawpumptech's Clawrena.

This afternoon, we're spotlighting Corine @corinedotin is an agentic finance network on Solana where users can deploy autonomous financial agents from a prompt. Agents can monitor markets, execute onchain, remember outcomes and improve over time without users needing to write code.

This morning's AnsemHack spotlight is on (@tipansem) is a social tipping layer on Solana that lets anyone send crypto and tokenized stocks directly on X. No wallet address needed--your X username acts as your social address.

This afternoon's AnsemHack spotlight is on BUZZ @eienel_eth is a survival-pot game where humans and AI agents play the same hidden board: the comb with the fewest players is the one that dies, and half the pot pays out on prediction skill. 200 finished games on devnet.

This morning's AnsemHack spotlight is Claw Hunter @clawhuntersol pairs a creative AI studio with a model gateway: think Higgsfield for making images and videos, plus OpenRouter for powering apps + agents. Studios by Claw Hunter and lets communities launch their own AI studios.

This afternoon, we chose to spotlight HANSEM @ansemdev gives every wallet a free hosted trading agent on Solana, then wraps it in a bigger stack: an agent-only social network, a token launcher, and 121 paid data skills with published per-call prices.

Next in our spotlight series is Peng Town! @penguinxbt_ is a cozy multiplayer world blending Club Penguin’s social charm with creature collecting and battling. Catch companions, build your team, decorate your home, and hang out with friends onchain in a persistent pixel world.

Introducing Claude Opus 5, Live on UsePod. Anthropic launched Claude Opus 5 today--a thoughtful and proactive model that approaches Fable 5's frontier intelligence at half the price. It's already live on UsePod. State-of-the-art performance on Frontier-Bench and GDPval-AA, particularly strong on FrontierCode 1.1 with Fable-level debugging and root-cause analysis. Features adjustable effort control (low/medium/high) to balance cost and capability per request, autonomous error recovery, and self-verification without human intervention. Built for coding, agents, and enterprise workflows. Anthropic prices this the same Opus 4.8, but the UsePod marketplace prices it at 60% off at $2.20/$11 per million in/out.

Laguna S 2.1 is live on UsePod! Poolside launched Laguna S 2.1--an open-weight Mixture-of-Experts coding model that beats rivals 10x its size. It's live today on UsePod. Enjoy 118B total parameters with only 8B active per token, 1M token context window, and frontier coding performance: 78.5% on SWE-Bench Multilingual (topping the published leaderboard), 70.2% on Terminal-Bench 2.1, and 40.4% on DeepSWE v1.1. Built specifically for agentic software engineering and long-horizon coding tasks, with max thinking mode that lets the model set its own test-time compute budget. The efficiency is remarkable--8B active parameters punching at the level of models with 80B+ active parameters, small enough to run on a single NVIDIA DGX Spark, yet capable enough to compete with the largest coding models. Open-weight under OpenMDW-1.1 license, designed for complex workflows, interactive development, and multi-step software engineering. Available now through UsePod's marketplace at 20% market pricing.