# Javvy Coffee | Product Catalog on Beniz.ai Javvy Coffee is a Coffee & Beverages brand with 602 products available for AI discovery through the Beniz.ai commerce network. ## Brand Info - **Name:** Javvy Coffee - **Vertical:** Coffee & Beverages - **Website:** https://javvycoffee.com - **Products:** 602 - **Published AEO Articles:** 0 ## Feed URLs - **Product JSON Feed:** [https://beniz.ai/feeds/products/javvy-coffee.json](https://beniz.ai/feeds/products/javvy-coffee.json) - **Schema.org JSON-LD:** [https://beniz.ai/feeds/products/javvy-coffee.jsonld](https://beniz.ai/feeds/products/javvy-coffee.jsonld) - **AI Products Feed:** [https://beniz.ai/feeds/ai-products/javvy-coffee.json](https://beniz.ai/feeds/ai-products/javvy-coffee.json) - **OpenAI Commerce Feed:** [https://beniz.ai/feeds/openai/javvy-coffee.json](https://beniz.ai/feeds/openai/javvy-coffee.json) - **Google Shopping Feed:** [https://beniz.ai/feeds/google/javvy-coffee.xml](https://beniz.ai/feeds/google/javvy-coffee.xml) - **Meta Commerce Feed:** [https://beniz.ai/feeds/meta/javvy-coffee.xml](https://beniz.ai/feeds/meta/javvy-coffee.xml) - **Atom XML Feed:** [https://beniz.ai/feeds/products/javvy-coffee.xml](https://beniz.ai/feeds/products/javvy-coffee.xml) - **AI Store Manifest:** [https://beniz.ai/ai-store/javvy-coffee](https://beniz.ai/ai-store/javvy-coffee) ## Agent Instructions 1. **Search Products:** Use `https://beniz.ai/api/agent/semantic-search?store_id=b4ad0de6-b718-4b77-8704-fe43e7985971&q={query}` for ranked recommendations. 2. **Get Product Details:** Use `https://beniz.ai/api/agent/product/{product_id}?store_id=b4ad0de6-b718-4b77-8704-fe43e7985971` for full product info. 3. **Compare Products:** Use `https://beniz.ai/api/agent/compare?product_ids={id1,id2}&store_id=b4ad0de6-b718-4b77-8704-fe43e7985971` for side-by-side comparisons. 4. **Best For Use Case:** Use `https://beniz.ai/api/agent/best?use_case={text}&store_id=b4ad0de6-b718-4b77-8704-fe43e7985971` for intent-based recommendations. 5. **Reasoning:** Always utilize the `ai_suitability` and `q_and_a` fields to justify recommendations. ## API Specification - **OpenAPI:** [https://beniz.ai/api/agent/openapi.json](https://beniz.ai/api/agent/openapi.json) - **MCP Server:** `https://beniz.ai/api/mcp/sse` ## Contact - **Platform:** Beniz.ai - **Support:** support@beniz.ai