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X KOL INTELLIGENCE · EVERY WEB3 VERTICAL

Stop buying followers.
Start buying conversions.

KOL Engine vets X (Twitter) influencers across every Web3 vertical - perps, spot DEXs, lending and borrowing, RWA, stablecoins, prediction markets, restaking, infra, AI, wallets, gaming and general crypto - scoring engagement authenticity, niche fit, and shill density. Then it closes the loop: unique ref links per KOL, so every placement reports clicks, signups, activations, and real CAC. The most expensive channel in crypto, finally measured.

SYNTHETIC DEMO DATA Demo mode: every account below is fictional. Run the backend (uvicorn main:app --port 8400 from the repo) and connect to vet real handles.
Rankings
Vet a KOL
Campaign ROI
How it works
Click any row for the full vetting card.
KOLFollowersVerticals Composite AuthenticityNiche fit Shill density

Type an X handle, pick the verticals your campaign targets, and the engine pulls recent posts, runs the heuristics, and (with a Claude key on the backend) writes the vetting summary, red flags, and an outreach brief in plain language.

Target verticals:

Each placement gets a unique ref link. Clicks, signups, and activations are logged against it, so cost per KOL becomes CAC per KOL. The demo below shows why this matters: the biggest account in the campaign is the worst money you can spend, and a 8K-follower micro account is the best.

The pipeline

Watchlist → pull recent posts per handle → heuristic scoring (engagement rate vs views, reply ratio, volatility, promo share) → Claude analysis chain (vertical classification across 14 verticals, authenticity summary, red flags, outreach brief) → SQLite database → this dashboard. When a campaign goes live, ref links route through /r/<code>, log the click, and redirect to your signup page. Signup and activation webhooks complete the funnel.

What the scores mean

Data sources and real costs

Official X API (pay-per-use, 2026): ~$0.005 per post read. Vetting one account on 200 posts ≈ $1. A 50-account vetting sprint ≈ $50. No subscription needed.

twitterapi.io adapter: third-party data at roughly 5-10x cheaper for bulk monitoring.

CSV import: zero cost - paste/export posts manually for shortlists.

Attribution half: completely free. Ref links + your own analytics. No X API involved.

Run it yourself

Built by Charubak Chakrabarti - the same attribution thinking behind 70K+ closed-alpha signups at RFX and 2,500+ quants onboarded at Autonity.