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KiHustle Recipe Schema Generator
x402
KiHustle Recipe Schema Generator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-14).
Generates structured recipe schema markup (JSON-LD or similar) from a recipe name, list of ingredients, and preparation steps
Price / call$0.002
Success—
StatusUnknown
How this service works
Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.
Output
A JSON response containing a structured representation of the recipe, including name, ingredients, and steps formatted as schema-compatible data, with a status field indicating success or failure of the generation.
Example use cases
SEO schema markup for food blog
“I'm publishing a pasta carbonara recipe on my food blog and need proper schema markup for Google — can you generate the recipe schema for 'Spaghetti Carbonara' with ingredients like 200g spaghetti, 100g pancetta, 2 eggs, 50g parmesan, and steps: boil pasta, fry pancetta, whisk eggs with cheese, combine off heat?”
Structured data for recipe aggregator
“I need machine-readable structured data for a smoothie recipe called 'Green Power Smoothie' — ingredients are 1 banana, 1 cup spinach, 1/2 cup almond milk, 1 tablespoon chia seeds, and the steps are: add all ingredients to blender, blend until smooth, serve immediately.”
Recipe schema for automation pipeline
“Generate a schema for 'Overnight Oats' with ingredients: 1/2 cup rolled oats, 1 cup milk, 2 tablespoons honey, 1/2 cup mixed berries, and steps: combine oats and milk, add honey, mix in berries, refrigerate overnight, stir and serve cold — I want to use it in my content pipeline.”
Technical details
Endpoint
POSThttps://kihustle.tech/bot-bazaar/api/v1/recipe-schema-gen?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly generate structured recipe schema data from raw recipe components (name, ingredients, steps) without manually constructing JSON-LD markup. It is best suited for content pipelines, food blogs, or SEO automation workflows where recipes need to be made machine-readable at low cost ($0.002 per call). Prefer alternatives if you need full schema.org compliance guarantees, rich metadata fields (cook time, nutrition, author), or highly validated output.
Side effects
- Missing required fields (name, steps, or ingredients) may result in incomplete or failed schema generation
- Malformed array input for steps or ingredients could cause a processing error
- Very long ingredient or step lists may be truncated or cause timeouts
- The generic response schema suggests limited error detail — failures may only return a non-success status without descriptive messages
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| name | string | |
| steps | array | |
| ingredients | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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