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Gambit GPU Shop – OCR via GLM Vision
x402
Gambit GPU Shop – OCR via GLM Vision is a paid API for AI agents from spark-2f53.tail8a7863.ts.net, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-13).
Extracts text from a base64-encoded image using GLM OCR, optionally guided by a prompt, returning the recognized text and model name.
Price / call$0.03
Success—
StatusUnknown
How this service works
Gambit GPU shop. Pay with L402 Lightning on /l402/* or x402 USDC on Base on /x402/*. Handwritten letter POST /x402/letter at $25.00 USDC. Funnel https://spark-2f53.tail8a7863.ts.net/gambit. Cheap probe GET|POST /x402/models at $0.01 USDC.
Output
A JSON object with a 'text' field containing all text recognized in the image, and a 'model' field indicating the model used (e.g. 'glm-ocr:latest').
Example use cases
Receipt text extraction for expense tracking
“I took a photo of this receipt — here it is in base64. Can you read all the text off it so I can log the items and total for my expense report?”
Sign or label reading in a field photo
“I have a base64 image of a road sign from our field survey. Can you extract the text from it so I can add it to our database?”
Scanned form digitization
“I scanned a paper form and have it as a base64 image. Please extract all the text fields and their values so I can enter them into our system.”
Technical details
Endpoint
POSThttps://spark-2f53.tail8a7863.ts.net/gambit/x402/ocrWhen to prefer
Choose this endpoint when you need to extract text from images (OCR) via a pay-per-call API with USDC micropayments on Base at $0.03 per call, especially in automated agent workflows where no monthly subscription is desired. Prefer this over heavyweight OCR services when cost-per-call efficiency and crypto-native payment rails matter.
Side effects
- Invalid or corrupted base64 image data — returns error or empty text
- Image contains no readable text — returns empty text string
- Unsupported image format — may return an error
- Payment failure via x402 — HTTP 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| prompt | string | |
| image_b64 | string |
Output
Schema · Response
{
"type": "json",
"example": {
"text": "hello",
"model": "glm-ocr:latest"
}
}Tags
x402
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