x402-computeThis skill should be used when the user asks to "provision GPU instance", "integrate agent pods over an API", "create pods for my customers", "pod webhooks", "pod events", "spin up a cloud server", "list compute plans", "browse GPU pricing", "deploy AI machine", "one-click GPU running an LLM", "deploy a private LLM endpoint", "OpenRouter-ready endpoint", "agent deploy GPU", "spin up my own OpenAI-compatible endpoint", "extend compute instance", "resize compute instance", "destroy server instance", "check instance status", "list my instances", "top up compute credits", "check credit balance", "run inference on the grid", "decentralized inference", "OpenAI-compatible API", "confidential / TEE inference", "list grid models", "check grid capacity", "run a node", "provide compute", "become a grid node", "node operator", "join the grid", "stake to run a node", "serve a model on the grid", "earn from compute", "deploy an always-on AI agent", "deploy a hosted OpenClaw agent", "spin up a ClawPod", "agent pod", "hosted agent with its own wallet", "free agent trial", "deploy a processor", "sell my code per call", "monetize an endpoint", "publish a paid API", "connect a processor as an MCP tool", "back up my agent", "agent backup", "restore my agent", "migrate my agent", "agent vault", "snapshot my agent's memory", "move my agent to a new machine", or manage Singularity Cloud Network compute. Seven jobs: SGL Machines (GPU/VPS provisioning across Vultr & DigitalOcean), AI Machines (one-click GPU running an LLM — deploy a private OpenAI-compatible endpoint, or join the grid & earn), SGL Grid (decentralized, confidential, OpenAI-compatible inference — consume it), Provide Compute (run a TEE node on the grid to serve inference and earn USDC + SGL), and Agent Pods (deploy an always-on hosted OpenClaw agent with its own crypto wallet, memory, and preinstalled x402 skills — managed or BYOK, tiers, free 24h trial), and Processors (publish your own code as a paid endpoint — buyers pay you directly in USDC via x402, you pay only for runtime; every processor is also a connectable MCP server, so agents, harnesses and LangGraph nodes can call it with just a URL), and Agent Vault (zero-knowledge encrypted backup, restore & migration for OpenClaw/Hermes agents — snapshot an agent's memory and soul, store it encrypted, restore or migrate it to any machine or pod). Pay with USDC on Base, Solana or Arc, USDm on MegaETH, USDG on Robinhood Chain via x402, optional MPP/Mppx, or pre-loaded USD credits. Arc: accepted for credit top-ups AND direct machine/AI-machine provision and extension payments (direct Arc payments floor at $5 — Arc gas is USDC; smaller prepayments go through Arc-funded credits). Includes optional OWS-backed auth and management flows.
Install via ClawdBot CLI:
clawdbot install ivaavimusic/x402-computeGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Scored Aug 15, 2026
Calls external URL not in known-safe list
https://studio.x402layer.cc/docs/agentic-access/x402-computeAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Researchers can provision high-performance GPU instances like A100s to train machine learning models, run experiments, or process large datasets. They pay with USDC on Base or Solana, enabling seamless, on-demand compute without traditional billing cycles. This is ideal for academic labs or startups needing flexible, scalable infrastructure.
Developers building decentralized applications (dApps) can spin up VPS instances to host backend services, APIs, or nodes, with payments integrated via blockchain. Using USDC on Base or Solana ensures transparent, automated payments aligned with web3 ecosystems. This supports projects requiring reliable, pay-as-you-go server management.
Video editors, 3D artists, or game developers can use GPU instances for rendering complex scenes or processing high-resolution media. They provision instances for specific durations (e.g., days or months) to handle intensive workloads, paying with USDC to avoid upfront costs. This suits freelance creators or small studios needing burst compute capacity.
Businesses can deploy compute instances to run data pipelines, perform analytics, or handle batch processing tasks. By listing and managing instances via scripts, teams automate infrastructure scaling based on project needs, with USDC payments on blockchain networks reducing administrative overhead. This is useful for fintech or e-commerce companies.
Software engineers can provision temporary VPS or GPU instances for testing applications, running CI/CD pipelines, or developing prototypes. They use daily plans for short-term needs, destroying instances after use to optimize costs, with payments handled via x402 protocol. This benefits tech teams requiring agile, disposable infrastructure.
Operate a platform where users access GPU and VPS instances billed in USDC per time unit (hours, days, months). Revenue comes from markup on underlying infrastructure costs, with payments processed via x402 protocol on Base or Solana. This model targets developers and researchers seeking transparent, on-demand pricing.
Offer managed services where AI agents automatically provision and manage compute instances for clients based on workload demands. Revenue is generated through subscription fees or usage-based commissions, leveraging API keys for secure access. This model serves businesses needing hands-off infrastructure management.
Provide compute resources specifically for web3 projects, with native USDC payments and integration into decentralized ecosystems. Revenue streams include hosting fees, payment protocol fees, and partnerships with blockchain networks. This model appeals to dApp developers and crypto-native enterprises.
💬 Integration Tip
Set up a dedicated wallet with limited USDC for testing, use SSH keys for secure access, and create an API key via create_api_key.py to simplify routine management without exposing private keys.
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