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Stake & Flywheel is now live on OpenVecta.
50% of OpenVecta revenue will flow directly into the staking pool through recurring buybacks.
Rewards are backed by real protocol activity, not freshly printed supply.
As OpenVecta usage grows, the flywheel scales with it:
Inference usage → protocol revenue → buybacks → staking rewards.
Stakers can choose from four lock periods:
• 7 days: 10% share
• 30 days: 15% share
• 90 days: 25% share
• 180 days: 50% share
Longer commitment, larger share of each buyback cycle.
The staking system runs on Streamflow’s audited, non-custodial contract with no admin key over user funds.
Real usage.
Revenue-backed rewards.
Aligned long-term incentives.
🤖 Made with AI
Your AI bill should come with proof.
OpenVecta now gives you a verifiable receipt for every AI call what you sent, what you got, and what you paid.
Don’t just take our word for it. Check it yourself.
openvecta.com/docs/api-refer…
Your favorite AI. More possibilities.
Claude Code now works with OpenVecta, bringing Claude, DeepSeek, GPT, Gemini, and Grok into the workflow you already know.
Want more perspectives? Meet Council: leading AI models working together to deliver one answer.
More choice. More perspectives. Keep creating.
Explore → openvecta.com
Grok-4.5 is live on OpenVecta
xAI's latest, live now 500K context
same OpenAI-compatible endpoint, one line to switch.
This completes the lineup: every frontier lab now live behind one endpoint OpenAI, Anthropic, Google, xAI alongside the strong open models.
Pay with a key or accountless x402
Council is now its own endpoint: POST /v1/council
You don't just get the answer, you get the argument.
Several models draft in parallel, a judge reconciles them. The response hands back every model's draft beside the synthesis, so you can see where the answer came from and which model disagreed.
OpenVecta Examples is now live.
A collection of 8 runnable starters designed to help developers integrate OpenVecta quickly using familiar tools and frameworks.
Included examples:
• OpenAI SDK
• Next.js streaming
• Vercel AI SDK
• LangChain
• Council cross-lab Mixture-of-Agents
• vecta/auto model routing
• MCP for Claude Desktop and Cursor
• x402 USDC pay-per-call
OpenVecta is OpenAI-compatible, so existing integrations can connect by changing the API endpoint.
Explore the examples: github.com/openvecta/example…
Autonomous agents shouldn’t have unlimited permission to spend.
With OpenVecta Agent Spending Limits, you can set hard caps on any API key, per call, per hour, or per day.
Your agents keep running autonomously.
Your inference budget stays under control.
Cloudflare gives agents wallets.
OpenVecta gives them spending limits for inference.
More autonomy. Less cost risk. No surprise bills.
→ Set the limit. Let the agent run.
Your agent shouldn’t need to guess which model to use.
With Vecta, you define the task and the budget, we now handle the routing.
Vecta automatically selects the best model within your budget, handles fallback when needed, and shows exactly which model was chosen and why.
Smarter routing. Transparent decisions. Predictable costs.
Inference built for agents.
Something new just landed on OpenVecta. 🕶️
Meet ox-alpha a stealth model with a massive 1M-token context window, built for tasks that demand long-context reasoning, large codebases, and processing substantial amounts of information in a single prompt.
Point your agent at it, test the model, and see what it can do before the preview disappears.
"model": "ox-alpha"
1M context + frontier-level capabilities + free access during the preview.
Your model doesn’t need to overthink everything.
OpenVecta lets you dial reasoning up or down with:
low | medium | high
Need deeper reasoning? Just add :think.
"model": "claude-opus-5:think"
Less latency when you want speed. More reasoning when you need depth.
HTTP 402 finally makes sense.
Stablecoins + AI agents turned per-request settlement into something practical.
OpenVecta uses exactly this model for inference, agents pay only for the tokens they use, settled on-chain.
Stop picking models.
"model": "auto"
OpenVecta automatically chooses the right intelligence for every prompt, cheap when it can be, powerful when it needs to be, and capable of escalating to a full Council when one model isn’t enough.
One endpoint. Every brain.
An agent with a wallet is also an agent that can be tricked into paying the wrong address.
So we're building a safety layer into OpenVecta's payment rail: before a payment settles, screen the counterparty for sanctions and risk, block the bad, flag the rest.
Agentic commerce doesn't scale without trust. We're wiring it in.
Council on OpenVecta, upgraded.
Most multi-model systems stop at aggregation: multiple models answer, then everything gets merged, including mistakes.
Council goes further.
Models answer → critique → eliminate errors → resolve conflicts → calibrate → synthesize.
The result is a final answer built from what survives cross-model scrutiny, not just what gets repeated.
4 frontier labs are already live. Council Pro is coming.
OpenVecta Weekly Recap · August 10–16, 2026
Another week of shipping at OpenVecta.
From frontier models to agent infrastructure, here's everything that happened this week.👇
Gemini 3.1 Pro is now live on OpenVecta.
With Google now in the lineup alongside OpenAI, Anthropic, xAI, and other major labs, developers can switch between frontier models by changing a single model string.
xitter.gq/open_vecta/status/2087…
Gemini 3.1 Pro (@GeminiApp) is now live on OpenVecta.
Google joins the frontier models available through a single OpenVecta endpoint, alongside OpenAI, Anthropic, and xAI.
Switch models without changing your stack. Just change the model string.
Pay-per-call in USDC.
No account.
One endpoint across the frontier.



















