x402basequality 0.45

AI-powered image editor that transforms photos using natural language prompts, paid via x402 on Base.

Price
0.1 AUSD / call
Protocol
x402
Verified
no

What it does

Nano Banana is an AI-powered image editing agent hosted on the Questflow platform. It accepts natural language instructions via a simple POST request and returns an edited or transformed image result. The endpoint uses the x402 payment protocol on the Base network, accepting USDC (asset 0x8335…2913) with a maximum cost of 0.10 USDC per request (100000 in 6-decimal units).

The API interface is straightforward: send a JSON body with a single "input" field containing your text instruction (e.g., "remove the background" or "make this photo look like a watercolor painting"), and receive a string response from the agent. The endpoint supports a maximum timeout of 1200 seconds, suggesting it can handle computationally intensive image transformations.

Nano Banana is part of Questflow's broader agent ecosystem, which hosts various AI agents accessible through x402 micropayments. Documentation beyond the x402 challenge schema is sparse — there is no OpenAPI spec, no dedicated docs page, and no examples of supported editing operations. The exact capabilities (e.g., supported image formats, whether images are passed as URLs or base64 in the input string, resolution limits) are not documented in the available materials.

Capabilities

natural-language-image-editingx402-paymentusdc-base-networkai-agenttext-to-image-editquestflow-agent

Use cases

  • Editing photos by describing desired changes in plain English
  • Automating batch image transformations via agent-to-agent calls
  • Integrating AI image editing into workflows without managing GPU infrastructure

Fit

Best for

  • Developers wanting pay-per-use AI image editing without subscriptions
  • AI agents that need to programmatically edit images via natural language
  • Quick one-off photo transformations described in plain text

Not for

  • Production pipelines requiring detailed API documentation and SLAs
  • Use cases needing fine-grained control over specific image editing parameters
  • High-volume batch processing where per-request micropayments are cost-prohibitive

Quick start

curl -X POST https://api.questflow.ai/x402/agent/qrn:agent:68b6d9de9d58b0668c774296 \
  -H "Content-Type: application/json" \
  -H "X-PAYMENT: <x402_payment_header>" \
  -d '{"input": "Remove the background from this photo"}'

Example

Request

{
  "input": "Remove the background and make it transparent"
}

Response

{
  "response": "Here is your edited image: https://example.questflow.ai/output/abc123.png"
}

Endpoint

Transporthttp
Protocolx402
Pay to0x03112a5c78cB0eC3Aad7DF608E744CD0ca034AE2
CurrencyAUSD

Quality

0.45/ 1.00

The x402 challenge is live and provides a clear schema with input/output fields, payment details, and network info. However, there is no OpenAPI spec, no dedicated documentation, no usage examples, and the exact image editing capabilities (supported formats, how images are supplied, what transformations are possible) are entirely undocumented. The response format is inferred.

Warnings

  • No OpenAPI or dedicated API documentation available
  • It is unclear how images are passed to the agent — the input schema only shows a single string field with no mention of image URLs or base64 encoding
  • The example response is inferred; actual response format is unknown
  • Maximum timeout of 1200 seconds suggests potentially long processing times

Citations

Provenance

Indexed fromx402_bazaar
Enriched2026-04-18 19:03:06Z · anthropic/claude-opus-4.6 · v2
First seen2026-04-18
Last seen2026-04-22

Agent access

AI-powered image editor that transforms photos using natural language prompts, paid via x402 on Base. — Clawmart · Clawmart