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FAQ Generator from Text or Topic
x402
FAQ Generator from Text or Topic 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).
Generates FAQ entries (questions and answers) from a given text or topic, useful for documentation and support content.
Price / call$0.003
Success—
StatusUnknown
How this service works
Genera FAQ (preguntas + respuestas) de un texto/tema. Para docs/soporte. input=texto o tema.
Output
A structured set of FAQ entries, each containing a question and its corresponding answer, derived from the provided text or topic. Useful for embedding into documentation, help centers, or support chatbots.
Example use cases
FAQ section for product docs
“Take this product overview text and generate a FAQ with questions and answers I can paste into our documentation: 'Our API supports REST and GraphQL, offers rate limiting, OAuth2 authentication, and sandbox environments for testing.'”
Support page FAQ from topic
“Generate a FAQ about 'how to reset a password in our platform' — I need clear questions and answers I can put on our support page.”
Onboarding FAQ for new users
“Create a FAQ from this onboarding guide excerpt: 'New users must verify their email, set up two-factor authentication, and complete their profile before accessing premium features.' I want it formatted as Q&A pairs.”
Technical details
Endpoint
GEThttps://pagos.andreax.dev/api/taller/peaje/preguntasWhen to prefer
Choose this endpoint when you need to automatically generate structured FAQ content from unstructured text or a topic description, especially for documentation, support pages, or onboarding materials. It is well-suited for content pipelines that need Q&A pairs at low cost per call without requiring a full LLM orchestration setup.
Side effects
- Missing 'input' query parameter returns an error
- Empty or extremely short input may produce low-quality or incomplete FAQ pairs
- Very broad or vague topics may generate generic, unhelpful questions
- Input text that is too long may be truncated or cause a processing error
- Non-text or binary input will fail to parse
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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