Renderful AI for Openclaw

A crypto-friendly API integration for generating professional-grade AI images and videos using state-of-the-art models.

luv005
v1.0.0
Feb 2, 2026
3
2.8k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install renderful-ai

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install renderful-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Renderful AI?

Renderful AI is a powerful integration for Openclaw Skills that enables developers and AI agents to generate visual content through a unified API. By leveraging top-tier models like FLUX.1, Kling 1.6, and Google Veo, it bridges the gap between creative AI and decentralized finance.

This skill is particularly valuable for automated workflows where agents need to produce high-fidelity assets while managing costs through crypto-native payment rails like Base, Polygon, and Solana. As part of the broader ecosystem of Openclaw Skills, it provides a standardized way to access multiple video and image generation engines without managing individual subscriptions.

Renderful AI Use Cases

  • Automating marketing asset creation with FLUX.1 Pro and SDXL models.
  • Generating cinematic video content for social media using Kling or Wan.
  • Enabling autonomous AI agents to pay for their own generation tasks using x402 protocols.
  • Integrating multi-model AI generation into decentralized applications (dApps) using Openclaw Skills.

How Renderful AI Works

  1. The user or agent authenticates using a Renderful API key.
  2. A POST request is sent to the generation endpoint specifying the desired model (image or video) and prompt parameters.
  3. The system initiates a task ID and processes the generation; for video, this typically takes 30-120 seconds.
  4. The agent polls the status endpoint to track progress.
  5. Upon completion, a secure CDN URL is returned for the generated asset.

Renderful AI Setup

To get started with this skill, obtain your API key from the Renderful dashboard. Set the environment variable in your Openclaw Skills environment:

export RENDERFUL_API_KEY="rf_your_api_key"

For autonomous payments, configure the x402 wallet:

export RENDERFUL_X402_WALLET="your_agent_wallet"
export RENDERFUL_PREFER_X402="true"

Renderful AI Data Schema & Taxonomy

Renderful AI utilizes a task-based data schema to manage asynchronous generation requests within Openclaw Skills.

Field Type Description
task_id String Unique identifier for the generation job
status String Current state (e.g., pending, completed, failed)
url String CDN link to the final image or video file
expires_at Timestamp ISO 8601 date when the asset expires from the CDN

Renderful AI Advanced Features

  • Support for x402 payment flow allowing agents within Openclaw Skills to handle financial transactions autonomously.
  • Multi-chain support for USDC payments across Base, Polygon, and Solana.
  • Fine-grained control over video parameters including duration, FPS, and resolution (up to 1080p).
  • Access to cutting-edge portrait video models like OmniHuman for realistic human movement.

SKILL.md


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