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Tempest AI Content Engine — Scaffold Endpoint
x402
Tempest AI Content Engine — Scaffold Endpoint is a paid API for AI agents from tempestars.vercel.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-11).
Generates a structured content outline (scaffold) for a given topic with configurable depth and number of sections
Price / call$0.2
Success—
StatusUnknown
How this service works
Compose, rewrite, translate, and refine content at scale. 25 AI-powered endpoints. Pay-per-call with USDC on Tempo.
Output
Returns a JSON object with a 'success' boolean and a 'data' object containing the generated content scaffold, likely including section titles, headings, or sub-topics organized around the requested topic at the specified depth and section count.
Example use cases
Blog post outline for content marketers
“I need a content scaffold for a blog post on 'sustainable fashion trends in 2025' — give me 5 sections at a standard detail depth so I can hand it off to my writers.”
Whitepaper structure for B2B teams
“Can you create a detailed outline for a whitepaper on 'AI adoption in enterprise healthcare', with 8 sections and high depth — I want it thorough enough to guide a full research document.”
Course curriculum planning
“Scaffold a content outline for an online course on 'personal finance basics for millennials', 7 sections, medium depth — I need a clear structure before I start writing the lessons.”
Technical details
Endpoint
POSThttps://tempestars.vercel.app/api/scaffold?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to rapidly generate a structured content outline or scaffold for a given topic before writing the full content. It's best used as a planning step in a content pipeline, especially when you need configurable depth and section count. Prefer this over full-content generation endpoints when you only need the structure, not the prose.
Side effects
- Missing required 'topic' field returns an error
- Overly vague topic may produce generic or low-quality outlines
- Very high section count with shallow depth may produce incomplete outlines
- Payment failure via x402/USDC results in 402 response before content is generated
- Network timeout if AI inference takes too long
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| depth | string | Detail level |
| topicrequired | string | Topic for outline |
| sections | number | Number of sections |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| success | boolean |
Tags
x402
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