A 27-endpoint AI compute agent providing seamless LLM inference, image/video generation, speech synthesis, on-chain intelligence, and Bittensor-powered decentralized AI powered by x402 micropayments.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-compute
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-compute using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The ai-compute-x402 skill is a comprehensive, multi-modal compute powerhouse designed to integrate advanced AI capabilities directly into your automation pipelines. As part of the ecosystem of Openclaw Skills, this toolkit provides managed AI operations spanning 11 language models, state-of-the-art image and video generation (FLUX, SDXL), and robust speech-to-text (STT) and text-to-speech (TTS) services. It allows developers to offload complex computational workloads to efficient backend services without heavy local infrastructure.
Beyond traditional centralized compute, the skill offers native routing through Bittensor, a decentralized machine learning network, and integrates specialized on-chain AI intelligence. This enables smart contract auditing, transaction classifications, and wallet profiling directly from your workflows. Every computational transaction is backed by precise x402 micropayments (ranging from $0.001 to $0.50 USDC), complete with a compute-futures prepaid credits system that unlocks volume discounts.
compute.sh CLI wrapper, specifying the HTTP method, endpoint, and payload variables.Configure the environment variables required for authorization. Add these to your workspace or deployment configuration to start leveraging Openclaw Skills for compute operations:
# Export the mandatory API key or x402 subscription key
export RESEARCH_API_KEY="your_api_key_here"
# Optional: Customize the gateway URL if using a custom endpoint
export RESEARCH_GATEWAY_URL="https://gateway.spraay.app"
Ensure system dependencies like curl and python3 are globally accessible. You can then trigger any of the 27 endpoints directly from your shell environment:
# Test a text-inference call
bash scripts/compute.sh POST /api/v1/compute/text-inference '{"model":"llama-3.1-8b","prompt":"List three major benefits of decentralized compute.","max_tokens":200}'
The ai-compute-x402 skill structures incoming payloads and outgoing telemetry with high-fidelity JSON data types. Below is a taxonomy of the primary schemas utilized across compute operations:
| Category | Parameter | Type | Description |
|---|---|---|---|
| Managed Text | model |
String | Model identifier (e.g., llama-3.1-8b) |
| Managed Text | prompt |
String | Input text context for LLM response generation |
| GPU Inference | input |
Object | Dictionary of custom model parameters forwarded to Replicate |
| On-Chain AI | address |
String | Ethereum/EVM-compatible cryptographic public address |
| Futures | amount |
Number | Amount of USDC to deposit for credit purchasing |
All endpoints standardize output structures containing completion metadata, execution cost, and performance telemetry to assist in tracking and accounting:
status: String (success, failed, or pending for async tasks)job_id: String (uuid for tracking async jobs)cost: Number (actual micropayment in USDC deducted)data: Object/Array containing inference outputs, token counts, or generated media URLsgpu/run endpoint.Loading
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