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pagos.andreax.dev – Formal Text Rewriter
x402
pagos.andreax.dev – Formal Text Rewriter is a paid API for AI agents from pagos.andreax.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-14).
Rewrites a given text in formal and professional tone while preserving the original language
Price / call$0.003
Success—
StatusUnknown
How this service works
Reescribe un texto en tono formal y profesional (mismo idioma). input=texto.
Output
Returns the input text rewritten in a formal and professional register, preserving the original language and core meaning while replacing colloquialisms, informal phrasing, and casual constructs with polished, professional language.
Example use cases
Formalizing a casual email draft
“I wrote this email to a client but it sounds too casual. Can you rewrite it to sound more professional? 'Hi! Just checking — did you get my last message? We need your feedback on the proposal ASAP, thanks!'”
Polishing a job application message
“This message I wrote to apply for a job sounds too informal. Please rewrite it in a formal, professional tone: 'I really wanna work at your company, I think I'd be a great fit and I'm super passionate about this stuff.'”
Professionalizing a customer support response
“I need to send a formal reply to a client complaint but my draft is too conversational. Can you formalize it? 'Sorry about the mess up! We'll fix it asap and make sure it doesn't happen again, promise!'”
Technical details
Endpoint
GEThttps://pagos.andreax.dev/api/taller/peaje/reescribir-formalWhen to prefer
Choose this endpoint when you need a lightweight, cost-effective, per-call text formalization service that preserves language and meaning while upgrading tone to professional. Ideal for automating tone correction in pipelines, customer communication tools, or document workflows without needing a full LLM orchestration setup.
Side effects
- Missing 'texto' query parameter returns an error
- Empty or very short input may produce minimal output
- Non-textual input (e.g. numbers only) may yield poor results
- Very long texts may be truncated or return partial results
- Unsupported languages may not be transformed correctly
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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