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GEDX402 DETR-ResNet-50 Object Detection
x402
GEDX402 DETR-ResNet-50 Object Detection is a paid API for AI agents from ged-x402-media.jvalamis.workers.dev, paid per call via x402, $0.0042/call, status unknown (last checked 2026-09-14).
Detects and localizes objects in a base64-encoded image using the DETR-ResNet-50 model, returning bounding boxes, labels, and confidence scores — paid per call with USDC via x402.
Price / call$0.0042
Success—
StatusUnknown
How this service works
x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.
Output
Returns a JSON array of detections, each containing a bounding box (as [x1, y1, x2, y2] pixel coordinates), a human-readable label (e.g. 'person', 'car', 'dog'), and a confidence score between 0 and 1. Costs $0.0042 USDC per call, charged automatically via x402 on Base, Polygon, Arbitrum, World, or Solana — no API key required.
Example use cases
Inventory audit with item localization
“I've got a photo of our warehouse shelf. Can you scan it and tell me every item you can see, exactly where each one is positioned, and how confident you are about each detection? I need this for our stock count.”
Traffic monitoring for accident detection
“Check this street camera image for me. Find all the cars, pedestrians, and any other vehicles, then give me their exact positions in the frame. I'm trying to spot if there's congestion or an incident.”
Security alert on suspicious activity
“Analyze this security footage screenshot right now. I need you to locate every person visible, show me where they are in the image, and tell me your confidence level for each detection so I can review the area.”
Technical details
Endpoint
GEThttps://ged-x402-media.jvalamis.workers.dev/v1/detect/detr-resnet-50When to prefer
Choose this endpoint when you need serverless, pay-per-call object detection without managing API keys or subscriptions — especially when your agent already holds USDC on Base, Polygon, Arbitrum, World, or Solana. Ideal for one-off image analysis tasks or pipelines that need to detect and localize multiple object classes in a scene using a proven transformer-based model (DETR-ResNet-50).
Side effects
- Invalid or malformed base64 image returns an error response
- Image too large may time out or be rejected by the worker
- Payment failure (insufficient USDC balance or unsupported chain) results in HTTP 402
- Non-image data passed as the image field causes a model inference error
- Unsupported image format may result in a decode error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| image | string |
Output
Schema · Response
{
"type": "json",
"example": {
"detections": [
{
"box": [
0,
0,
100,
200
],
"label": "person",
"score": 0.95
}
]
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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