Vet creators with data, not media kits

The vetting stack in three endpoints

• channel-stats / profile — followers, bio, verification.
• channel-videos / channel-posts — the last N posts with per-post metrics.
• comments — sample real comments to spot bought engagement and brand-safety issues.

Compute a real engagement rate

const base = "https://api.scrapersocial.com/v1";
const h = { Authorization: "Bearer sk_live_..." };

const profile = await (await fetch(
  `${base}/tiktok/channel-stats?handle=${handle}`, { headers: h })).json();
const videos = await (await fetch(
  `${base}/tiktok/channel-videos?handle=${handle}&limit=20`, { headers: h })).json();

const avgEngagement = videos.data
  .map((v) => v.metrics.likes + v.metrics.comments)
  .reduce((a, b) => a + b, 0) / videos.data.length;

const rate = avgEngagement / profile.data.metrics.followers;

23 credits for the pair of calls above (3 for the profile, 20 for twenty videos) — about 12 cents to vet a creator properly. Run it across a shortlist of 40 creators for under $5.

Cross-platform by design

The same code vets an Instagram account by swapping the platform segment. For B2B campaigns, LinkedIn endpoints cover member profiles, company pages, and post engagement. Every response is the same envelope, so your scoring model doesn't care where the creator lives.