Diario TikTok Creator Vetting Pipeline

import requests, os, json

API_KEY = os.environ["SCAVIO_API_KEY"]
TH = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}

CREATORS = ["creator_username_1", "creator_username_2", "creator_username_3"]

def fetch_creator_profile(username: str) -> dict:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/tiktok/profile",
        headers=TH,
        json={"username": username},
        timeout=15,
    )
    return resp.json()

def fetch_creator_posts(username: str) -> list:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/tiktok/user-posts",
        headers=TH,
        json={"username": username, "count": 20},
        timeout=15,
    )
    return resp.json().get("posts", [])

def vet_creator(username: str) -> dict:
    profile = fetch_creator_profile(username)
    posts = fetch_creator_posts(username)

    followers = profile.get("followers", 0)
    total_likes = profile.get("likes", 0)

    if posts:
        avg_views = sum(p.get("views", 0) for p in posts) / len(posts)
        avg_likes = sum(p.get("likes", 0) for p in posts) / len(posts)
        avg_comments = sum(p.get("comments", 0) for p in posts) / len(posts)
        engagement_rate = (avg_likes + avg_comments) / max(followers, 1) * 100
    else:
        avg_views = avg_likes = avg_comments = engagement_rate = 0

    flags = []
    if followers > 100000 and engagement_rate < 1.0:
        flags.append("LOW_ENGAGEMENT_FOR_SIZE")
    if avg_views < followers * 0.01:
        flags.append("LOW_VIEW_RATIO")
    if len(posts) < 5:
        flags.append("INACTIVE")

    return {
        "username": username,
        "followers": followers,
        "engagement_rate": round(engagement_rate, 2),
        "avg_views": int(avg_views),
        "avg_likes": int(avg_likes),
        "post_count": len(posts),
        "flags": flags,
        "verdict": "PASS" if not flags else "REVIEW",
    }

for creator in CREATORS:
    report = vet_creator(creator)
    status = "PASS" if report["verdict"] == "PASS" else "REVIEW"
    print(f"[{status}] @{report['username']}: {report['followers']} followers, {report['engagement_rate']}% engagement, flags={report['flags']}")

const TH = {'Authorization': 'Bearer '+process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
const CREATORS = ['creator_username_1', 'creator_username_2', 'creator_username_3'];

async function fetchCreatorProfile(username) {
  const r = await fetch('https://api.scavio.dev/api/v1/tiktok/profile', {method:'POST', headers:TH, body:JSON.stringify({username})});
  return r.json();
}

async function fetchCreatorPosts(username) {
  const r = await fetch('https://api.scavio.dev/api/v1/tiktok/user-posts', {method:'POST', headers:TH, body:JSON.stringify({username, count:20})});
  return (await r.json()).posts || [];
}

async function vetCreator(username) {
  const profile = await fetchCreatorProfile(username);
  const posts = await fetchCreatorPosts(username);
  const followers = profile.followers || 0;
  let avgViews=0, avgLikes=0, avgComments=0, engagementRate=0;
  if (posts.length) {
    avgViews = posts.reduce((s,p)=>s+(p.views||0),0)/posts.length;
    avgLikes = posts.reduce((s,p)=>s+(p.likes||0),0)/posts.length;
    avgComments = posts.reduce((s,p)=>s+(p.comments||0),0)/posts.length;
    engagementRate = (avgLikes+avgComments)/Math.max(followers,1)*100;
  }
  const flags = [];
  if (followers>100000 && engagementRate<1.0) flags.push('LOW_ENGAGEMENT_FOR_SIZE');
  if (avgViews<followers*0.01) flags.push('LOW_VIEW_RATIO');
  if (posts.length<5) flags.push('INACTIVE');
  return {username, followers, engagementRate:Math.round(engagementRate*100)/100, avgViews:Math.round(avgViews), postCount:posts.length, flags, verdict:flags.length?'REVIEW':'PASS'};
}

for (const creator of CREATORS) {
  const report = await vetCreator(creator);
  console.log('['+report.verdict+'] @'+report.username+': '+report.followers+' followers, '+report.engagementRate+'% engagement, flags='+JSON.stringify(report.flags));
}