# Moondream2 - Core.Today AI API > Small but capable vision-language model (14M+ runs) — ask free-form questions about any image and get detailed answers. Efficient VQA for tagging, moderation prep, and rich alt-text. - **Provider**: Moondream - **Model ID**: lucataco/moondream2 - **Category**: Image Generation - **Credits**: 5 per image - **Speed**: Fast - **Quality**: High ## Features - Free-form questions about any image - Detailed multi-sentence answers - Small model — fast and cheap (7 credits) - Good at counting, reading, and describing ## Use Cases - Rich image descriptions - Content moderation pre-screening - Product attribute extraction - Chart and diagram explanation - Accessibility alt-text ## API Endpoint Base URL: https://api.core.today/v1 Create Prediction: POST /predictions Get Status: GET /predictions/{job_id} ## Authentication Header: X-API-Key: YOUR_API_KEY ## Input Parameters ### Required - **image**: string - Input image ### Optional - **prompt**: string (default: Describe this image) - Question or instruction about the image ## Examples ### Detailed Description Get a rich description of an image ```json { "model": "lucataco/moondream2", "input": { "image": "https://example.com/scene.jpg", "prompt": "Describe this image in detail, including colors, objects, and mood." } } ``` ### Product Attributes Extract structured attributes from a product photo ```json { "model": "lucataco/moondream2", "input": { "image": "https://example.com/product.jpg", "prompt": "List the product's color, material, and any visible text." } } ``` ## Response Format ```json { "job_id": "abc123", "status": "pending | processing | completed | failed", "result": "URL or data (when completed)" } ``` ## Usage Flow 1. POST /predictions with model and input -> receive job_id 2. GET /predictions/{job_id} -> poll until status is completed or failed 3. Result contains output URL(s) ## Tips - Ask specific questions — 'What brand is the logo?' beats 'Describe this' - Great mid-point between 1-credit BLIP captions and expensive frontier VLMs - Answers are in English; translate downstream if needed ## Documentation https://replicate.com/lucataco/moondream2