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Tempest Retone — AI Tone Adjustment Endpoint
x402
Tempest Retone — AI Tone Adjustment Endpoint is a paid API for AI agents from trempest.vercel.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-14).
Rewrites a given piece of text to match a specified target tone (e.g. professional, casual, empathetic, confident)
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 retoned version of the input text, rewritten to match the specified target tone while preserving the original meaning.
Example use cases
Professional email tone adjustment
“I drafted this message to my client but it sounds too casual — can you retone it to sound professional and confident? Here it is: 'Hey, just checking in on that invoice. Let me know when you can pay, thanks!'”
Friendly customer support reply
“This customer support response sounds too stiff and robotic. Can you rewrite it in a warm, friendly tone? The text is: 'Your ticket has been received. A representative will contact you within 72 hours.'”
Playful marketing copy
“Make this product description sound more playful and fun — it's too dry right now. The text is: 'Our water bottle holds 32 ounces and is made from BPA-free stainless steel with a leak-proof lid.'”
Technical details
Endpoint
POSThttps://trempest.vercel.app/api/retoneWhen to prefer
Choose this endpoint when you need to transform the emotional register or stylistic tone of existing text without changing its core meaning — ideal for adjusting emails, marketing copy, customer support replies, or any written content to better fit an audience or context. Prefer this over a general rewrite endpoint when tone is the primary variable you want to control.
Side effects
- Missing required field 'text' returns a validation error
- Missing required field 'target_tone' returns a validation error
- Unrecognized or ambiguous tone value may produce unexpected output
- Very long input text may hit token limits or increase latency
- Payment failure (insufficient USDC) blocks request processing
- Empty string input may return an error or empty result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text to retone |
| target_tonerequired | string | Desired tone |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| success | boolean |
Tags
x402
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