Brand DNA & Virtual Influencer Pipeline

Extract the visual DNA of any brand, mint a persistent virtual brand ambassador with lock-tight facial biometrics, and programmatically generate high-converting lifestyle campaign imagery with automated guideline compliance auditing.

Powered by FOTOhub's Brand Engine (server/brand-engine/) and neural image generation infrastructure, this recipe solves character drift and brand guideline violations across multi-channel content operations.

Architectural Workflow

mermaid

flowchart TD
    subgraph Ingestion["1. Brand Onboarding & Ingestion"]
        A["Brand Collateral Ingest (PDF / Style Guide / Moodboard)"]
        A --> B["Color Extraction & Visual Analysis (/v1/brands/{id}/extract-dna)"]
        B --> C["Brand Profile Created (Voice, Palette, Typo, Mood)"]
    end
    
    subgraph Definition["2. Ambassador Definition"]
        C --> D["Virtual Face Definition (/v1/brands/{id}/faces)"]
        D --> E["Anchor Face Generation (nano-banana-pro / seedream-5-0)"]
        E --> F["Biometric Reference Stored (S3 Storage Vault)"]
    end
    
    subgraph Generation["3. Content Generation Engine"]
        F --> G["Multi-Angle Canonical Perspectives (/perspectives)"]
        F --> H["Lifestyle & Outfit Synthesis Engine (/expressions)"]
        G & H --> I["20+ Lifestyle Scenes Rendered (Seed Locked)"]
    end
    
    subgraph Audit["4. Quality & Compliance Auditing"]
        I --> J["Automated Compliance Audit (/check-compliance)"]
        J --> K{"Compliance Score >= 80%?"}
        K -->|"Fail (<80%)"| M["Automated Re-Prompting & Color Correction (DLQ)"]
        M --> I
    end
    
    subgraph Publishing["5. Multi-Platform Publishing"]
        K -->|"Pass"| L["Publish to Social Studio / CDN Catalog"]
        L --> N["Webhook: campaign.completed"]
        N --> O["BYOB Export (S3 / R2)"]
    end

Hardware Affinity

The Brand Engine leverages FOTOhub's distributed GPU infrastructure. Brand DNA extraction uses Vision models on standard inference tiers. For video and audio synchronization, GPU2 is reserved for MMAudio, GPU3 for MuseTalk/LipSync, and GPU4/5 for advanced 3D generation. Master face minting and perspectives primarily utilize nano-banana-pro on our high-density generative fleet.

Production Economics & USD Billing

All Brand Engine operations are metered directly against your prepaid USD wallet. Costs reflect exact pass-through GPU compute and neural inference rates. FOTOhub uses pure USD billing ONLY. All balances are represented as wallet.available_usd.

Operation	API Endpoint	Cost (USD)	Output Delivered
Brand DNA extraction	`POST /v1/brands/{id}/extract-dna`	$0.015	Hex palette, tone of voice, typography, style keywords
Master face generation	`POST /v1/brands/{id}/faces/generate`	$0.035	High-fidelity master portrait with biometrics
Perspective variant (per angle)	`POST /v1/brands/{id}/faces/{id}/perspectives`	$0.025	Specific angle (e.g., front, 3/4 left, profile)
Expression variant (per variant)	`POST /v1/brands/{id}/faces/{id}/expressions`	$0.022	Single lifestyle contextual variant
Compliance audit	`POST /v1/brands/{id}/check-compliance`	$0.005	0–100 brand score with actionable feedback

ROI Comparison vs. Traditional Photo Shoots

Expense Category	Traditional Shoot (Per Campaign)	Virtual Ambassador Pipeline (20 Assets)
Model Talent	$1,500 - $5,000	$0.00
Photographer	$2,000 - $4,000	$0.00
Location & Permits	$1,000 - $3,000	$0.00
Styling & Hair/Makeup	$800 - $1,500	$0.00
Retouching	$500 - $1,000	$0.00
Compute & Inference (USD)	$0.00	~$1.330
Total Turnaround Time	2 - 4 Weeks	Under 5 Minutes

Autonomous Pre-Reservation & Fault-Tolerant Refunds

FotoHUB reserves the exact estimated USD cost before GPU inference begins. If an external model endpoint degrades or returns an ai_unavailable status, the reserved USD balance is immediately refunded back to your prepaid wallet in real time.

Endpoint Parameter Reference

`POST /v1/brands`

Create a brand profile.

Field	Type	Required	Default	Description
`name`	string	Yes	—	The name of the brand.
`description`	string	Yes	—	A short summary of the brand's mission.
`industry`	string	Yes	—	Industry vertical (e.g., Beauty, Fashion).
`brand_voice`	string	No	`""`	The tone of voice for the brand.
`primary_color`	string	No	`null`	Hex code for primary brand color.
`secondary_color`	string	No	`null`	Hex code for secondary brand color.
`logo_url`	string	No	`null`	URL to the brand's logo.

`POST /v1/brands/{id}/extract-dna`

Extract DNA from uploaded collateral.

Field	Type	Required	Default	Description
`file`	file	Yes	—	The moodboard or style guide image.
`extraction_mode`	string	No	`"comprehensive"`	Mode: `"colors_only"`, `"comprehensive"`.

Response JSON Example:

json

{
  "visual_style": "Minimalist, clinical, organic",
  "suggested_primary": "#2A4736",
  "suggested_secondary": "#F4EFEA",
  "suggested_accent": "#D4A373",
  "suggested_brand_voice": "Serene, clinical, scientifically transparent, soothing",
  "style_keywords": ["clean", "minimal", "nordic", "botanical"],
  "usd_charged": 0.015
}

`POST /v1/brands/{id}/faces/generate`

Mint a persistent master face.

Field	Type	Required	Default	Description
`prompt`	string	Yes	—	Core character description (1–2000 chars) describing identity, ethnicity, and lighting.
`ai_model`	string	No	`"nana-banana-pro"`	Model ID.
`generation_config`	object	No	`{}`	Fine-grained biometric controls.

Generation Config Sub-fields:

Key	Type	Example Values	Description
`gender`	string	`"female"`, `"male"`, `"non-binary"`	Canonical gender representation.
`age_range`	string	`"24-28"`, `"30-35"`, `"40-45"`	Perceived age span of the virtual ambassador.
`ethnicity`	string	`"Scandinavian"`, `"East Asian"`, `"Afro-Latina"`	Demographic visual features for consistent identity.
`skin_tone`	string	`"fair with warm undertones"`, `"olive"`, `"rich bronze"`	Skin tone guidance for color accuracy under varying lights.
`hair_color`	string	`"chestnut brown"`, `"platinum blonde"`, `"raven black"`	Persistent hair color.
`hair_style`	string	`"textured bob"`, `"slicked high pony"`, `"natural curls"`	Default base hairstyle.
`eye_color`	string	`"deep hazel"`, `"emerald green"`, `"warm amber"`	Iris pigmentation for close-up portraits.
`clothing`	string	`"tailored linen blazer"`, `"minimalist silk slip"`	Baseline wardrobe anchor.
`accessories`	string	`"subtle gold huggies"`, `"matte black glasses"`	Persistent jewelry or eyewear markers.
`background`	string	`"neutral studio grey with soft key light"`	Clean environment for master face extraction.

`GET /v1/brands/{id}/faces/{face_id}`

Retrieve face status and URLs.

Field	Type	Required	Default	Description
`id`	string	Yes	—	(Path) Brand ID.
`face_id`	string	Yes	—	(Path) Face ID.

`POST /v1/brands/{id}/faces/{face_id}/perspectives`

Generate canonical angles.

Field	Type	Required	Default	Description
`perspectives`	string[]	Yes	`["front"]`	Array of desired angles (e.g., `"front"`, `"three_quarter_left"`, `"three_quarter_right"`, `"profile_left"`).
`ai_model`	string	No	`"nano-banana-pro"`	Model ID.
`style_prompt`	string	No	`null`	Contextual camera guidance notes.

Camera Guidance Notes

When requesting perspectives, you can guide the virtual camera setup via style_prompt. For a flat commercial look, request 85mm focal length, f/5.6 aperture, flat even studio lighting. For a dramatic look, specify 35mm lens, high contrast rim lighting.

`POST /v1/brands/{id}/faces/{face_id}/expressions`

Generate expressions and outfits.

Field	Type	Required	Default	Description
`variants`	string[]	Yes	`["happy"]`	Variant keys to render. Max 8 per API call.
`variant_type`	string	Yes	`"expression"`	Variant family: `"expression"`, `"pose"`, or `"outfit"`.
`ai_model`	string	No	`"nano-banana-pro"`	Neural generation model ID.
`style_prompt`	string	No	`null`	Environmental context, lighting, camera angle, and scene styling.

Supported Variant Types:

expression: happy, confident, thinking, relaxed, surprised, serious, playful.
pose: standing, sitting, leaning, walking, running.
outfit: casual, business, formal, athletic, evening.

`POST /v1/brands/{id}/check-compliance`

Score image against brand guidelines.

Field	Type	Required	Default	Description
`file`	file	Yes	—	Generated image to audit.

Compliance Scoring Deep-Dive:

overall_score: The composite score (0-100).
color_score: Evaluates exact pixel matches against primary/secondary hex codes.
style_score: Checks alignment with extracted visual DNA keywords.
coherence_score: Verifies facial locking and biometric similarity to the master ambassador face.
quality_score: Flags artifacting, extra limbs, or poor lighting.

`GET /v1/brands`

List all brand profiles.

Field	Type	Required	Default	Description
`limit`	integer	No	`50`	Pagination limit.
`offset`	integer	No	`0`	Pagination offset.

`DELETE /v1/brands/{id}`

Delete a brand profile.

Field	Type	Required	Default	Description
`id`	string	Yes	—	(Path) Brand ID.

Assets need to match social platforms. Ensure you adapt your style prompts and potential crop hints to hit these aspect ratios:

1:1 - Instagram Feed
9:16 - Instagram Stories / Reels, TikTok
16:9 - YouTube Thumbnails, LinkedIn Banners

Error Handling, Retry Patterns, and Async Polling

Because GPU rendering takes time, some endpoints may return a 202 Accepted status with a Job ID. You should poll the job status or wait for a webhook. For failures (e.g., 429 Too Many Requests or 503 Service Unavailable), implement a DLQ (Dead Letter Queue) or exponential backoff retry.

WARNING

Always ensure you have enough wallet.available_usd. A 402 Payment Required will halt the pipeline if the required USD cost exceeds your balance.

Webhooks & Webhook Integration

Webhook: `campaign.completed`

Listen for asset completion via webhooks. We sign payloads with HMAC-SHA256 using your webhook secret.

Python FastAPI Handler

python

from fastapi import FastAPI, Request, HTTPException
import hmac
import hashlib
import os

app = FastAPI()
WEBHOOK_SECRET = os.environ.get("FOTOHUB_WEBHOOK_SECRET", "whsec_...")

@app.post("/webhooks/fotohub")
async def handle_webhook(request: Request):
    signature = request.headers.get("X-FotoHub-Signature")
    if not signature:
        raise HTTPException(status_code=400, detail="Missing signature")
        
    payload = await request.body()
    expected_sig = hmac.new(
        WEBHOOK_SECRET.encode(), payload, hashlib.sha256
    ).hexdigest()
    
    if not hmac.compare_digest(signature, expected_sig):
        raise HTTPException(status_code=401, detail="Invalid signature")
        
    data = await request.json()
    if data.get("event") == "campaign.completed":
        print(f"Campaign {data['campaign_id']} is done. Output URLs: {data['urls']}")
        
    return {"status": "ok"}

TypeScript Express Handler

typescript

import express from 'express';
import crypto from 'crypto';

const app = express();
const WEBHOOK_SECRET = process.env.FOTOHUB_WEBHOOK_SECRET || 'whsec_...';

app.post('/webhooks/fotohub', express.raw({ type: 'application/json' }), (req, res) => {
  const signature = req.headers['x-fotohub-signature'] as string;
  
  if (!signature) {
    return res.status(400).send('Missing signature');
  }

  const expectedSig = crypto
    .createHmac('sha256', WEBHOOK_SECRET)
    .update(req.body)
    .digest('hex');

  if (signature !== expectedSig) {
    return res.status(401).send('Invalid signature');
  }

  const payload = JSON.parse(req.body.toString());
  if (payload.event === 'campaign.completed') {
    console.log(`Campaign ${payload.campaign_id} complete. URLs:`, payload.urls);
  }

  res.status(200).send('ok');
});

app.listen(3000, () => console.log('Listening on port 3000'));

BYOB Destination Export (S3/R2 Bucket Delivery)

Bring Your Own Bucket (BYOB). After generation, assets can be automatically exported to your AWS S3 or Cloudflare R2 bucket. Configure this at the Brand level by specifying export_destination:

json

{
  "export_destination": {
    "provider": "s3",
    "bucket": "my-brand-assets-prod",
    "region": "us-east-1",
    "access_key_id": "AKIA...",
    "secret_access_key": "..."
  }
}

Multi-Brand Agency Workflow

For agencies managing 10+ brands, you can segment API calls by injecting an Agency-Client-Id header. This separates the wallet.available_usd billing reports per client and partitions the generated faces in your CDN catalog.

Virtual Influencer Content Calendar Automation Script

Below is a pure Python asyncio script to generate a full 30-asset content calendar automatically for a multi-campaign rollout.

python

import asyncio
import aiohttp
import os

API_KEY = os.environ.get("FOTOHUB_API_KEY")
API_BASE = "https://apis.fotohub.app/v1"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

async def generate_asset(session, brand_id, face_id, variant, style):
    url = f"{API_BASE}/brands/{brand_id}/faces/{face_id}/expressions"
    payload = {
        "variants": [variant],
        "variant_type": "expression",
        "style_prompt": style
    }
    async with session.post(url, json=payload, headers=HEADERS) as resp:
        data = await resp.json()
        return data

async def generate_calendar(brand_id, face_id):
    prompts = [
        ("happy", "Coffee shop morning, soft sunlight, 1:1 ratio"),
        ("confident", "Office walking pose, business casual, 9:16 ratio"),
        ("relaxed", "Weekend reading, cozy sweater, 16:9 ratio"),
        # ... expand to 30 scenarios
    ] * 10
    
    async with aiohttp.ClientSession() as session:
        tasks = [generate_asset(session, brand_id, face_id, v, s) for v, s in prompts]
        results = await asyncio.gather(*tasks)
        
        for res in results:
            print(res)

if __name__ == "__main__":
    asyncio.run(generate_calendar("brd_123", "fac_456"))

Complete 4-Way Code Examples for the Full Pipeline

PythonTypeScriptGocURL

python

import os
import time
import requests

API_BASE = "https://apis.fotohub.app/v1"
API_KEY = os.environ["FOTOHUB_API_KEY"]
HEADERS = {"Authorization": f"Bearer fh_live_your_api_key"}

def run_brand_influencer_pipeline(moodboard_path: str):
    brand_payload = {
        "name": "Aura Botanica",
        "description": "Clean, eco-luxe dermatological skincare formulated with Nordic flora.",
        "industry": "Beauty & Personal Care",
        "brand_voice": "Serene, clinical, scientifically transparent, soothing"
    }
    resp = requests.post(f"{API_BASE}/brands", headers=HEADERS, json=brand_payload)
    brand_id = resp.json()["id"]

    with open(moodboard_path, "rb") as f:
        files = {"file": ("moodboard.png", f, "image/png")}
        dna = requests.post(
            f"{API_BASE}/brands/{brand_id}/extract-dna",
            headers=HEADERS, files=files
        ).json()
    
    face_gen_payload = {
        "prompt": "Hyperrealistic portrait of Maya, brand ambassador. Natural dewy skin.",
        "ai_model": "nano-banana-pro",
        "generation_config": {
            "gender": "female",
            "age_range": "27-30",
            "ethnicity": "Nordic Scandinavian",
            "skin_tone": "fair porcelain with warm neutral undertones",
            "hair_color": "honey ash blonde",
            "hair_style": "effortless wavy shoulder-length lob",
            "clothing": "minimalist organic cream ribbed knit top"
        }
    }
    face_res = requests.post(
        f"{API_BASE}/brands/{brand_id}/faces/generate",
        headers=HEADERS, json=face_gen_payload
    ).json()
    face_id = face_res["face"]["id"]

    requests.post(
        f"{API_BASE}/brands/{brand_id}/faces/{face_id}/perspectives",
        headers=HEADERS,
        json={"perspectives": ["front", "three_quarter_left", "three_quarter_right", "profile_left"]}
    )

    batch_res = requests.post(
        f"{API_BASE}/brands/{brand_id}/faces/{face_id}/expressions",
        headers=HEADERS,
        json={
            "variants": ["happy", "confident", "thinking"],
            "variant_type": "expression",
            "style_prompt": "Bright modern travertine bathroom, holding green glass serum bottle, natural dewy morning light"
        }
    ).json()

    sample_img = requests.get(batch_res["variant_urls"]["happy"]).content
    audit = requests.post(
        f"{API_BASE}/brands/{brand_id}/check-compliance",
        headers=HEADERS, files={"file": ("asset.png", sample_img, "image/png")}
    ).json()
    print("Audit Score:", audit["overall_score"])

if __name__ == "__main__":
    run_brand_influencer_pipeline("./brand_moodboard.png")

typescript

import axios from "axios";
import * as fs from "fs";
import FormData from "form-data";

const API_BASE = "https://apis.fotohub.app/v1";
const client = axios.create({
  baseURL: API_BASE,
  headers: { Authorization: `Bearer fh_live_your_api_key` },
});

async function orchestrateVirtualInfluencer(moodboardPath: string) {
  const { data: brand } = await client.post("/brands", {
    name: "Lumina Organics",
    description: "Bioactive botanical facial elixirs engineered for modern urban skin.",
    industry: "Beauty & Cosmetics",
  });

  const form = new FormData();
  form.append("file", fs.createReadStream(moodboardPath));
  await client.post(`/brands/${brand.id}/extract-dna`, form, { headers: form.getHeaders() });

  const { data: faceRes } = await client.post(`/brands/${brand.id}/faces/generate`, {
      prompt: "Editorial portrait of Elena, virtual ambassador for Lumina Organics.",
      ai_model: "nano-banana-pro",
      generation_config: {
        gender: "female",
        age_range: "26-29",
        ethnicity: "Mediterranean",
        skin_tone: "warm olive",
        hair_color: "deep espresso brown",
      },
  });

  await client.post(`/brands/${brand.id}/faces/${faceRes.face.id}/perspectives`, {
    perspectives: ["front", "three_quarter_left", "three_quarter_right", "profile_left"]
  });

  const { data: variantRes } = await client.post(`/brands/${brand.id}/faces/${faceRes.face.id}/expressions`, {
      variants: ["happy", "confident", "thinking"],
      variant_type: "expression",
      style_prompt: "Holding product dropper bottle in modern luxury bathroom with marble surfaces",
  });

  const auditForm = new FormData();
  const sampleImageStream = (await axios.get(variantRes.variant_urls.happy, { responseType: "stream" })).data;
  auditForm.append("file", sampleImageStream, "variant_happy.png");
  const { data: audit } = await client.post(`/brands/${brand.id}/check-compliance`, auditForm, { headers: auditForm.getHeaders() });
  console.log("Compliance Score:", audit.overall_score);
}
orchestrateVirtualInfluencer("./moodboard.png").catch(console.error);

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
)

const apiBase = "https://apis.fotohub.app/v1"

func main() {
	apiKey := "fh_live_your_api_key"
	client := &http.Client{}

	brandBody := map[string]interface{}{
		"name": "Solstice Silk",
		"description": "Ethical mulberry silk sleepwear and wellness accessories.",
		"industry": "Fashion & Apparel",
	}
	brandJSON, _ := json.Marshal(brandBody)
	req, _ := http.NewRequest("POST", apiBase+"/brands", bytes.NewBuffer(brandJSON))
	req.Header.Set("Authorization", "Bearer "+apiKey)
	req.Header.Set("Content-Type", "application/json")
	resp, _ := client.Do(req)
	
	var brand map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&brand)
	brandID := brand["id"].(string)

	faceBody := map[string]interface{}{
		"prompt": "Full-body cinematic photograph of Chloe, brand ambassador.",
		"ai_model": "nano-banana-pro",
		"generation_config": map[string]string{
			"gender": "female",
			"age_range": "28-32",
			"ethnicity": "French Caucasian",
		},
	}
	faceJSON, _ := json.Marshal(faceBody)
	fReq, _ := http.NewRequest("POST", fmt.Sprintf("%s/brands/%s/faces/generate", apiBase, brandID), bytes.NewBuffer(faceJSON))
	fReq.Header.Set("Authorization", "Bearer "+apiKey)
	fReq.Header.Set("Content-Type", "application/json")
	client.Do(fReq)
}

bash

# 1. Initialize Brand Workspace
BRAND_ID=$(curl -s -X POST https://apis.fotohub.app/v1/brands   -H "Authorization: Bearer fh_live_your_api_key"   -H "Content-Type: application/json"   -d '{
    "name": "Nordic Botanicals",
    "description": "Wild-harvested organic skincare from Lapland",
    "industry": "Clean Beauty"
  }' | jq -r '.id')

# 2. Extract Brand DNA
curl -s -X POST "https://apis.fotohub.app/v1/brands/$BRAND_ID/extract-dna"   -H "Authorization: Bearer fh_live_your_api_key"   -F "[email protected];type=image/png"

# 3. Mint Face
FACE_ID=$(curl -s -X POST "https://apis.fotohub.app/v1/brands/$BRAND_ID/faces/generate"   -H "Authorization: Bearer fh_live_your_api_key"   -H "Content-Type: application/json"   -d '{
    "prompt": "Authentic studio portrait of Freja, official virtual brand ambassador.",
    "ai_model": "nano-banana-pro",
    "generation_config": {
      "gender": "female",
      "age_range": "26-29",
      "ethnicity": "Nordic"
    }
  }' | jq -r '.face.id')

# 4. Generate Perspectives
curl -s -X POST "https://apis.fotohub.app/v1/brands/$BRAND_ID/faces/$FACE_ID/perspectives"   -H "Authorization: Bearer fh_live_your_api_key"   -H "Content-Type: application/json"   -d '{
    "perspectives": ["front", "three_quarter_left", "three_quarter_right", "profile_left"]
  }'

# 5. Generate Lifestyle Expressions
curl -s -X POST "https://apis.fotohub.app/v1/brands/$BRAND_ID/faces/$FACE_ID/expressions"   -H "Authorization: Bearer fh_live_your_api_key"   -H "Content-Type: application/json"   -d '{
    "variants": ["happy", "confident", "thinking"],
    "variant_type": "expression"
  }'

# 6. Check Compliance
curl -s -X POST "https://apis.fotohub.app/v1/brands/$BRAND_ID/check-compliance"   -H "Authorization: Bearer fh_live_your_api_key"   -F "file=@rendered_variant.png;type=image/png"

Brand DNA & Virtual Influencer Pipeline ​

Architectural Workflow ​

Production Economics & USD Billing ​

ROI Comparison vs. Traditional Photo Shoots ​

Endpoint Parameter Reference ​

POST /v1/brands ​

POST /v1/brands/{id}/extract-dna ​

POST /v1/brands/{id}/faces/generate ​

GET /v1/brands/{id}/faces/{face_id} ​

POST /v1/brands/{id}/faces/{face_id}/perspectives ​

POST /v1/brands/{id}/faces/{face_id}/expressions ​

POST /v1/brands/{id}/check-compliance ​

GET /v1/brands ​

DELETE /v1/brands/{id} ​

Social Platform Optimization ​

Error Handling, Retry Patterns, and Async Polling ​

Webhooks & Webhook Integration ​

Webhook: campaign.completed ​

Python FastAPI Handler ​

TypeScript Express Handler ​

BYOB Destination Export (S3/R2 Bucket Delivery) ​

Multi-Brand Agency Workflow ​

Virtual Influencer Content Calendar Automation Script ​

Complete 4-Way Code Examples for the Full Pipeline ​

Brand DNA & Virtual Influencer Pipeline

Architectural Workflow

Production Economics & USD Billing

ROI Comparison vs. Traditional Photo Shoots

Endpoint Parameter Reference

`POST /v1/brands`

`POST /v1/brands/{id}/extract-dna`

`POST /v1/brands/{id}/faces/generate`

`GET /v1/brands/{id}/faces/{face_id}`

`POST /v1/brands/{id}/faces/{face_id}/perspectives`

`POST /v1/brands/{id}/faces/{face_id}/expressions`

`POST /v1/brands/{id}/check-compliance`

`GET /v1/brands`

`DELETE /v1/brands/{id}`

Social Platform Optimization

Error Handling, Retry Patterns, and Async Polling

Webhooks & Webhook Integration

Webhook: `campaign.completed`

Python FastAPI Handler

TypeScript Express Handler

BYOB Destination Export (S3/R2 Bucket Delivery)

Multi-Brand Agency Workflow

Virtual Influencer Content Calendar Automation Script

Complete 4-Way Code Examples for the Full Pipeline