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Tempest AI Content Engine — Pulse Endpoint
x402
Tempest AI Content Engine — Pulse Endpoint is a paid API for AI agents from tempost.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-11).
Analyzes and transforms input text using AI-powered content processing for composing, rewriting, translating, or refining content
Price / call$0.15
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 indicating whether the call completed, and a 'data' object containing the AI-processed content result — typically the transformed, analyzed, or rewritten text derived from the input.
Example use cases
Blog post rewriting for tone
“Take this dry product description and rewrite it to sound more conversational and exciting: 'Our software automates invoice reconciliation and reduces manual data entry.' I want it to feel like something a startup founder would actually say.”
Marketing copy refinement
“I have this email subject line that's underperforming — can you run it through the AI content engine and suggest a more compelling version? The text is: 'Check out our new features for Q3.'”
Content quality analysis
“Analyze this customer testimonial for clarity and impact, then tell me how it could be improved: 'I liked using the product. It worked well and I would recommend it to others.'”
Technical details
Endpoint
POSThttps://tempost.vercel.app/api/pulse?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need pay-per-call AI text transformation without a subscription commitment, especially for sporadic or bursty content workloads. Prefer it over managed SaaS writing tools when you want programmatic control via API and are comfortable paying per call in USDC. Best suited for agents that need to compose, rewrite, or analyze text as part of a larger automated workflow.
Side effects
- Missing required 'text' field returns validation error
- Empty or very short text may yield poor AI output quality
- Payment failure (insufficient USDC) blocks the call via x402 protocol
- Rate limiting or model unavailability may cause transient failures
- Ambiguous or malformed text input may result in unexpected data shape in response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text to analyze |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| success | boolean |
Tags
x402
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