KiHustle QR Decoder

x402

KiHustle QR Decoder is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-14).

Decodes a QR code from a base64-encoded image and returns the embedded data

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.

Output

Returns a JSON object with a 'result' field containing the decoded QR code content (text, URL, or other encoded data) and a 'status' field indicating success or failure of the decoding operation.

Example use cases

Extract URL from QR code

“I have a QR code saved as a base64 image — can you decode it and tell me what URL it links to?”

Automate QR code reading in workflow

“I'm processing a batch of scanned documents and need to extract the QR code data from this base64-encoded image so I can route it to the right system.”

Verify QR code content before sharing

“Before I print this QR code, can you decode it from the base64 image I have to confirm it actually encodes the right product page URL?”

Technical details

Endpoint

POSThttps://kihustle.tech/bot-bazaar/api/v1/qr-decoder?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, pay-per-call QR code decoding service that accepts base64-encoded images directly without requiring file uploads or external storage. Useful for agents processing images inline or automating document workflows where QR code extraction is a small step in a larger pipeline.

Side effects

Invalid or malformed base64 string returns an error status
Image does not contain a recognizable QR code results in a failed decode
Low-quality or blurry QR code image may not be parsed correctly
Missing required image_base64 field causes a validation error
Payment not fulfilled (HTTP 402) if USDC payment is not provided

Input

Schema · Request body

Field	Type	Description
image_base64	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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