# Tempest AI Content Engine — Scaffold Outline

> 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

## Facts

- Endpoint: POST https://tempest-2zzx.vercel.app/api/scaffold
- Price: $0.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tempest-ai-content-engine-scaffold-outline-baf5253d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hXPbq9NHiDhfD6VWRFiBA

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability tempest-ai-content-engine-scaffold-outline-baf5253d -d '<json body>'
```

Example prompt: Can you scaffold a detailed content outline about 'the future of renewable energy' with 6 sections using Tempest?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "topic"
 ],
 "properties": {
  "depth": {
   "type": "string",
   "description": "Detail level"
  },
  "topic": {
   "type": "string",
   "description": "Topic for outline"
  },
  "sections": {
   "type": "number",
   "description": "Number of sections"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "data": {
   "type": "object"
  },
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tempest-ai-content-engine-scaffold-outline-baf5253d/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from tempest-2zzx.vercel.app](https://www.zero.xyz/host/tempest-2zzx.vercel.app/llms.txt)