# Tempest AI Content Engine — Scaffold Endpoint

> 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

## Facts

- Endpoint: POST https://tempestars.vercel.app/api/scaffold?utm_source=zero.xyz
- Price: $0.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tempest-ai-content-engine-scaffold-endpoint-58b44f06
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8UBlEgLm86uWKQMviPm7u

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-endpoint-58b44f06 -d '<json body>'
```

Example prompt: Can you scaffold a detailed content outline on 'the future of renewable energy' with 6 sections, using a high depth level?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## 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-endpoint-58b44f06/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from tempestars.vercel.app](https://www.zero.xyz/host/tempestars.vercel.app/llms.txt)
