TikTok Influencer Vetting Daily

import requests, os, statistics

H = {"Authorization": f"Bearer {os.environ['SCAVIO_API_KEY']}", "Content-Type": "application/json"}
BASE = "https://api.scavio.dev"

def vet_creator(username):
    profile = requests.post(f"{BASE}/api/v1/tiktok/profile",
        headers=H, json={"username": username}).json()["data"]["user"]
    followers = profile["follower_count"]

    posts_resp = requests.post(f"{BASE}/api/v1/tiktok/user/posts",
        headers=H, json={"sec_user_id": profile["sec_uid"], "count": 20}).json()
    posts = posts_resp["data"].get("posts", [])

    engagement_rates = []
    for p in posts:
        stats = p.get("statistics", {})
        eng = stats.get("digg_count", 0) + stats.get("comment_count", 0) + stats.get("share_count", 0)
        if followers > 0:
            engagement_rates.append(eng / followers * 100)

    median_eng = statistics.median(engagement_rates) if engagement_rates else 0

    foll_resp = requests.post(f"{BASE}/api/v1/tiktok/user/followers",
        headers=H, json={"sec_user_id": profile["sec_uid"], "count": 20}).json()
    sample = foll_resp["data"].get("followers", [])
    bot_like = sum(1 for f in sample if f.get("aweme_count", 0) == 0 and f.get("following_count", 0) > 500)
    quality_score = 1 - (bot_like / len(sample)) if sample else 0

    return {
        "username": username,
        "followers": followers,
        "median_engagement": round(median_eng, 2),
        "posts_sampled": len(posts),
        "follower_quality": round(quality_score, 2),
        "status": "pass" if median_eng >= 2 and quality_score >= 0.8 else "flag",
    }

result = vet_creator("example_creator")
print(f"{result['username']}: {result['median_engagement']}% eng, {result['follower_quality']} quality -> {result['status']}")

const BASE = "https://api.scavio.dev";
const H = { Authorization: `Bearer ${process.env.SCAVIO_API_KEY}`, "Content-Type": "application/json" };

async function vetCreator(username) {
  const profile = await fetch(`${BASE}/api/v1/tiktok/profile`, {
    method: "POST", headers: H, body: JSON.stringify({ username })
  }).then(r => r.json());
  const user = profile.data.user;

  const postsResp = await fetch(`${BASE}/api/v1/tiktok/user/posts`, {
    method: "POST", headers: H,
    body: JSON.stringify({ sec_user_id: user.sec_uid, count: 20 })
  }).then(r => r.json());
  const posts = postsResp.data.posts || [];

  const engRates = posts.map(p => {
    const s = p.statistics || {};
    return user.follower_count > 0
      ? ((s.digg_count || 0) + (s.comment_count || 0) + (s.share_count || 0)) / user.follower_count * 100
      : 0;
  });
  engRates.sort((a, b) => a - b);
  const median = engRates[Math.floor(engRates.length / 2)] || 0;

  console.log(`${username}: ${median.toFixed(2)}% engagement, ${posts.length} posts sampled`);
  return { username, followers: user.follower_count, medianEngagement: median };
}

vetCreator("example_creator");