With 4,000+ users, lifetime base:0xbfa733702305280f066d470afdfa784fa70e2649 trading volume $9.6M, lifetime fee of $67,400, the platform consistent trading volume and activity, Capminal still growing day by day.
15 months old 💪
Check out live metrics here:
https://t.co/zKQlRZkFFC
Many people are still underestimating this news, but the truth is that inference on OpenCAP is now liquid.
The tokenized inference market is still new, and it holds immense potential 🔥
#TokenizedInference#LLM#AI#OpenCAP 🟪
Excited to share that Capminal OpenCAP is now live on @useAgentOS v2026.7.26 as an LLM Gateway Provider 🟪
Now, OpenCAP users can plug into AgentOS and use it like a personal AI agent, powered by OpenCAP inference.
If you’re staking $CAPU and earning daily inference, this is the perfect time to try AgentOS, a top AI agent right now with token-efficient performance and agentic trading support from day one.
Thrilled to introduce @claudeai Opus 5
> Intelligent: close to Fable 5
> Price: a half of Fable 5
Now available on OpenCAP 🟪
> In / Out Price: $5 / $25 per 1M
> Has 78% discount now
If you didn’t know, after nearly 14 months building in the @virtuals_io ecosystem, Capminal $CAP hit $9.4M in lifetime volume and earned $65.8k in fees on the $cbBTC/$USDC pair.
We’re one of the few teams still building since the genesis days, and we will be still here for the long term.
Capminal | Your AI Terminal with Perpetual AI Compute, DeFAI Agent, and a Smart Tokenization.
🟪 LIVE: Capminal x @RobinhoodCrypto Chain: The alpha unlocked.
Millions of US Robinhood users can now transfer, swap tokens on Robinhood through Capminal Agentic Chat, or just tag @captain_dackie on X.
Agentic Wallet, Automation (Limit Orders, TWAP, DCA)... already enabled on Robinhood too.
Bridging and deploy skill drops next soon.
BTD or stay behind. LFG. 🚀
We heard that @virtuals_io szn now 👀
The ticker is base:0xbfa733702305280f066d470afdfa784fa70e2649
P.S: don't forget to try GPT 5.6 model family with discount on OpenCAP this weekend 🟪
Most newcomers think the most expensive model is always the best choice.
It isn't.
The best workflow is matching the model to the task. You'll get better speed, lower cost, and often the same quality.
A simple rule:
🧠 High (Best Quality)
Complex coding, deep research, long reasoning, and critical tasks.
Examples: Claude Opus, Claude 5, GPT-5.5
⚖️ Middle (Best Value)
Daily coding, writing, debugging, brainstorming, and most AI work.
Examples: Claude Sonnet, Gemini Pro, GLM-5.2, Qwen 3.7 Max
⚡️ Low / Fast (Best Speed)
Quick chat, summaries, translation, classification, simple automation, and high-volume API calls.
Examples: GPT-5.4 Mini, DeepSeek V4 Flash, Gemini Flash
Rule of thumb:
🧠 High = Maximum quality
⚖️ Middle = Best value
⚡️ Low = Fastest & cheapest
Use the right model for the job, not the most expensive one.
catwifhat ($CATWIF) is the #1 climbing project across attention metrics for 72 hours straight but sitting at $1.65m mcap, 51% below its ATH. the detail worth noting: it trades exclusively against USDC, not SOL. every other pump fun meme gives you double exposure on SOL drawdowns. CATWIF isolated that risk at launch. kucoin alpha and bitmart listings incoming into a token with 10m locked via streamflow and community-distributed supply. attention rising faster than price at sub-$2m is an accumulation pattern worth watching before exchange volume hits