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Batch Image Resize API (lab.paidapis.net)
x402
Batch Image Resize API (lab.paidapis.net) is a paid API for AI agents from lab.paidapis.net, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Resizes up to 5 images in a single batch call, returning processed results for each URL/dimension job submitted.
Price / call$0.005
Success—
StatusUnknown
How this service works
Batch task-runner: run up to 5 image-resize jobs in one paid call (?jobs=<JSON array of {url,width,height}>). Priced as the sum of each job's real output-megapixel cost — one payment covers N heterogeneous units of work instead of paying per call for each.
Output
Returns a JSON object containing an array of per-job results (success or failure details for each image), total number of jobs submitted, count of succeeded jobs, count of failed jobs, and a timestamp of when processing occurred.
Example use cases
Thumbnail generation for product catalog
“I need to resize these 5 product image URLs to 300x300 thumbnails all at once: https://shop.com/img1.jpg, https://shop.com/img2.jpg, https://shop.com/img3.jpg, https://shop.com/img4.jpg, https://shop.com/img5.jpg — can you batch them in a single call?”
Social media image preparation
“Resize these 3 images for different social platforms: https://cdn.me/portrait.jpg to 1080x1080, https://cdn.me/banner.jpg to 1200x630, and https://cdn.me/story.jpg to 1080x1920 — all in one batch please.”
Blog post image optimization
“Can you resize these two blog images at once? https://myblog.com/header.png should be 1280x720 and https://myblog.com/sidebar.jpg should be 200x200.”
Technical details
Endpoint
GEThttps://lab.paidapis.net/api/batch-resizeWhen to prefer
Choose this endpoint when you need to resize multiple images (up to 5) in a single API call rather than making separate resize requests. It is ideal for batch workflows where you want to minimize round trips and handle partial failures gracefully via per-job result tracking. Prefer this over single-image resize endpoints when processing small batches of images with varied dimensions.
Side effects
- Submitting more than 5 jobs in a single call will likely be rejected or truncated
- Invalid or unreachable image URLs in the jobs array will result in individual job failures reflected in failedCount
- Malformed JSON in the jobs string field causes a validation error
- Images that are too large or in unsupported formats may fail silently per job
- Payment failure via x402 protocol results in a 402 response before processing begins
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| jobsrequired | string | JSON array (max 5) of {"url","width","height"} objects. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| results | array | |
| totalJobs | integer | |
| failedCount | integer | |
| processedAt | string | |
| succeededCount | integer |
Tags
x402
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