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Tempest AI Content Engine — Scaffold Outline
x402
Tempest AI Content Engine — Scaffold Outline is a paid API for AI agents from tempest-2zzx.vercel.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-14).
Generates a structured content outline with configurable sections and detail depth for a given topic
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 containing a success flag and a data object with the generated content outline, including structured sections organized around the given topic at the requested depth and quantity.
Example use cases
Blog post planning for marketers
“I need a content outline for a blog post about 'sustainable fashion trends in 2025' — give me 5 sections with a standard detail level so I can hand it off to my writers.”
Whitepaper structure for a tech startup
“Scaffold a deep, detailed outline for a whitepaper on 'enterprise AI adoption challenges' with 8 sections — I want something thorough enough for a technical audience.”
Course curriculum scaffolding
“Can you generate a structured outline for an online course about 'personal finance fundamentals' with 7 sections? Keep the depth at a high level for now.”
Technical details
Endpoint
POSThttps://tempest-2zzx.vercel.app/api/scaffoldWhen to prefer
Choose this endpoint when you need a structured, section-by-section content outline generated automatically from a topic, especially when you want control over the number of sections and level of detail. Prefer this over general-purpose LLM prompting when you want a consistent, pay-per-call scaffold output integrated into a content pipeline. Best suited for editorial planning, course design, or report structuring workflows.
Side effects
- Missing required 'topic' field returns validation error
- Invalid 'sections' value (non-numeric) may cause a 400 error
- Overly vague topics may produce generic or low-quality outlines
- Payment failure (insufficient USDC balance) blocks the request
- Vercel cold-start latency may occasionally increase response time
- Very broad topics with high depth and many sections may hit timeout limits
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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