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Renderful Generation

Verified

Use Renderful from OpenClaw for image/video/audio/3D creation with model discovery, quote-before-generate workflow, deterministic polling, and insufficient-funds/x402 fallback.

390

Install

Claude Code

Add to .claude/skills/

About This Skill

  • Use this skill with the Renderful OpenClaw plugin tools:
  • `renderful_list_models`
  • `renderful_quote`
  • `renderful_generate`
  • `renderful_get_generation`
  • `renderful_register_agent`
  • `renderful_get_balance`
  • `renderful_set_webhook`

Recommended Flow

  1. Run `renderful_register_agent` if no API key is available.
  2. Run `renderful_list_models` to pick a valid `type` and `model`.
  3. Run `renderful_quote` before `renderful_generate`.
  4. Run `renderful_generate` once inputs are validated.
  5. Poll with `renderful_get_generation` until terminal status.

x402 and Insufficient Funds

  • If generation returns `status=402`, surface `payment_requirements`.
  • If `needs_funds=true`, surface `deposit_addresses` and `shortfall`.
  • Retry generation after funding or after providing valid `x_payment`.

Notes

  • Prefer read-only calls (`list_models`, `quote`, `get_generation`, `get_balance`) until explicit user approval for side effects.
  • Keep responses deterministic and structured so planners can chain tool calls safely.

Use Cases

  • Generate structured output from specifications or requirements
  • Create structured plans with milestones, timelines, and deliverables
  • Interact with external APIs for data retrieval and service integration
  • Create and process video content with AI assistance
  • Manage and configure Raspberry Pi devices remotely

Pros & Cons

Pros

  • + Solid adoption with 780+ downloads
  • + API-based architecture allows flexible integration with various platforms
  • + Handles multiple file formats for versatile document processing
  • + Local processing preserves privacy — no data sent to external services

Cons

  • - Requires API key configuration — not free or self-contained
  • - Processing large files may require significant memory and disk space
  • - Some advanced features may require additional system-level dependencies

Frequently Asked Questions

What does Renderful Generation do?

Use Renderful from OpenClaw for image/video/audio/3D creation with model discovery, quote-before-generate workflow, deterministic polling, and insufficient-funds/x402 fallback.

What platforms support Renderful Generation?

Renderful Generation is available on Claude Code, OpenClaw.

What are the use cases for Renderful Generation?

Generate structured output from specifications or requirements. Create structured plans with milestones, timelines, and deliverables. Interact with external APIs for data retrieval and service integration.

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