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AgentRXI Vision Ask (Moondream 3.1)
x402
AgentRXI Vision Ask (Moondream 3.1) is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.004536/call, status unknown (last checked 2026-10-15).
Answers a question about an image using the Moondream 3.1 vision model, or generates a caption if no question is provided
Price / call$0.004536
Success—
StatusUnknown
How this service works
Ask a question about an image (Moondream 3.1 vision model): read signs and screens, count things, describe a scene or check a photo. Without a question it writes a caption (short, normal or long). Priced $0.003 + up to $0.003 by max_tokens (default 512, max 1,024). Also callable as GET with the same fields as query parameters.
Output
Returns a text answer to the posed question about the image, or a short/normal/long caption if no question was given. The response reflects Moondream 3.1's vision understanding — including OCR-style text reading, object counting, scene description, and visual Q&A.
Example use cases
Reading text from a screenshot
“I have a screenshot at https://example.com/screenshot.png — can you read what the error message says on the screen?”
Counting items in a photo
“Here's a photo of a warehouse shelf: https://example.com/shelf.jpg — how many boxes are stacked on it?”
Auto-captioning an image for accessibility
“Write a long descriptive caption for this image at https://example.com/product.jpg so I can use it as alt text — use the 'long' caption length.”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/vision/ask?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to ask a specific question about an image (e.g. read text, count objects, verify content) or generate a caption of controlled length. It uses the Moondream 3.1 model which is optimized for fast, lightweight visual Q&A. Prefer it over general-purpose LLM vision APIs when you want pay-per-call pricing without a subscription, or when you need captioning with explicit length control.
Side effects
- Invalid or inaccessible image URL returns an error
- Image too large or unsupported format may fail
- Ambiguous questions may yield vague or incorrect answers
- max_tokens cap of 1024 may truncate long descriptions
- base64 and image_url both provided may cause conflict or one being ignored
- No image provided results in an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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