curl -X POST https://pop-cam.com/api/v1/nanobanana \
  -H "Authorization: Bearer pk_YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "data:image/png;base64,iVBOR...",
    "prompt": "Enhance this photo with cinematic lighting and shallow depth of field"
  }'

{
  "job_id": "a1b2c3d4-e5f6-...",
  "image_url": "https://storage.pop-cam.com/generated/...",
  "used_prompt": "Enhance this photo with cinematic lighting and shallow depth of field",
  "credits_remaining": 42
}

Authorization: Bearer pk_your_token_here

curl https://pop-cam.com/api/openclaw/skill

{
  "job_id": "a1b2c3d4-e5f6-...",
  "image_url": "https://storage.pop-cam.com/generated/...",
  "download_url": "https://...r2.cloudflarestorage.com/...?X-Amz-Signature=...",
  "used_prompt": "...",
  "credits_remaining": 42,
  "mode": "image-to-image"
}

{
  "job_id": "a1b2c3d4-e5f6-...",
  "status": "processing",
  "message": "Your image is being generated. Results will be POSTed to your webhook_url."
}

import requests
import base64

with open("photo.png", "rb") as f:
    b64 = base64.b64encode(f.read()).decode()

response = requests.post(
    "https://pop-cam.com/api/v1/nanobanana",
    headers={"Authorization": "Bearer pk_YOUR_TOKEN"},
    json={
        "image": f"data:image/png;base64,{b64}",
        "prompt": "Enhance this photo with cinematic lighting and shallow depth of field"
    }
)

data = response.json()
print(f"Download URL: {data['download_url']}")
print(f"Credits remaining: {data['credits_remaining']}")

import fs from "fs";

const imageData = fs.readFileSync("photo.png");
const base64 = imageData.toString("base64");

const response = await fetch("https://pop-cam.com/api/v1/nanobanana", {
  method: "POST",
  headers: {
    "Authorization": "Bearer pk_YOUR_TOKEN",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    image: `data:image/png;base64,${base64}`,
    prompt: "Enhance this photo with cinematic lighting and shallow depth of field",
  }),
});

const data = await response.json();
console.log("Download URL:", data.download_url);

curl -X POST https://pop-cam.com/api/v1/nanobanana \
  -H "Authorization: Bearer pk_YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A photorealistic portrait of a man in a leather jacket standing on a city rooftop at golden hour, natural lighting, shallow depth of field"
  }'

{
  "job_id": "a1b2c3d4-e5f6-...",
  "image_url": "https://storage.pop-cam.com/generated/...",
  "download_url": "https://...r2.cloudflarestorage.com/...?X-Amz-Signature=...",
  "used_prompt": "A photorealistic portrait of a man in a leather jacket standing on a city rooftop at golden hour, natural lighting, shallow depth of field",
  "credits_remaining": 41,
  "mode": "text-to-image"
}

{
  "success": true,
  "job_id": "a1b2c3d4-e5f6-...",
  "image_url": "https://storage.pop-cam.com/generated/...",
  "download_url": "https://...r2.cloudflarestorage.com/...?X-Amz-Signature=...",
  "used_prompt": "...",
  "credits_remaining": 41
}

{
  "success": false,
  "job_id": "a1b2c3d4-e5f6-...",
  "error": "Description of what went wrong"
}

{
  "tokens": [
    {
      "id": "uuid",
      "name": "My Agent",
      "token": "pk_...a1b2c3",
      "createdAt": "2025-01-15T...",
      "lastUsedAt": "2025-01-16T...",
      "revokedAt": null
    }
  ]
}

{
  "imageUrl": "https://storage.pop-cam.com/generated/free-tools/...",
  "dataUrl": "data:image/png;base64,...",
  "remaining": 1,
  "resetAt": "2026-03-28T12:00:00.000Z"
}

{
  "error": "Rate limit exceeded",
  "message": "You have used all your free generations. Try again later.",
  "remaining": 0,
  "resetAt": "2026-03-28T12:00:00.000Z"
}

curl -X POST https://pop-cam.com/api/free-tools/notes-to-infographic \
  -H "Content-Type: application/json" \
  -d '{
    "notes": "Q3 Revenue: $2.4M (+15% YoY)\nNew customers: 340\nChurn rate: 3.2%"
  }'

import requests

response = requests.post(
    "https://pop-cam.com/api/free-tools/notes-to-infographic",
    json={"notes": "Q3 Revenue: $2.4M (+15% YoY)\nNew customers: 340"}
)

data = response.json()
print(f"Image: {data['imageUrl']}")
print(f"Uses left: {data['remaining']}")

const response = await fetch(
  "https://pop-cam.com/api/free-tools/notes-to-infographic",
  {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({
      notes: "Q3 Revenue: $2.4M (+15% YoY)\nNew customers: 340"
    }),
  }
);

const data = await response.json();
console.log("Image URL:", data.imageUrl);
console.log("Remaining:", data.remaining);

{
  "imageUrl": "https://storage.pop-cam.com/generated/free-tools/...",
  "dataUrl": "data:image/png;base64,...",
  "remaining": 1,
  "resetAt": "2026-04-06T12:00:00.000Z"
}

curl -X POST https://pop-cam.com/api/free-tools/blog-header-image \
  -H "Content-Type: application/json" \
  -d '{
    "title": "How We Scaled to 10K Users in 30 Days",
    "description": "A startup growth story about product-led growth",
    "style": "tech"
  }'

import requests

response = requests.post(
    "https://pop-cam.com/api/free-tools/blog-header-image",
    json={
        "title": "How We Scaled to 10K Users in 30 Days",
        "style": "modern"
    }
)

data = response.json()
print(f"Image: {data['imageUrl']}")
print(f"Uses left: {data['remaining']}")

const response = await fetch(
  "https://pop-cam.com/api/free-tools/blog-header-image",
  {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({
      title: "How We Scaled to 10K Users in 30 Days",
      description: "A startup growth story",
      style: "illustration"
    }),
  }
);

const data = await response.json();
console.log("Image URL:", data.imageUrl);
console.log("Remaining:", data.remaining);

{
  "error": "Human-readable error description"
}