// public beta · running on synthetic on-chain data · roadmap · status
SYBILSHIELD

// for foundation teams

Protect your airdrop from coordinated farmers.

Pre-TGE Sybil filtering with evidence-backed scores in hours, not weeks. Six detection methods. Public appeal flow. Your community sees the methodology — no black box.

23%
median sybil rate in recent L2 airdrops
11h
typical turnaround on 1M addresses
$5k
vs $50k-$200k for a Big 4 audit
0.4%
median false-positive rate in retros

Which detection methods matter here

Funding clustering

Catches the cheapest sybil pattern — multi-wallet funding from a single source. Recovers 60-70% of farms in most airdrops.

Behavioral HDBSCAN

Finds wallets with statistically identical action sequences. Survives funding obfuscation.

Graph Leiden

Detects coordinated transfer rings invisible to per-address rules.

Cross-chain entity linking

Same actor, different chains — caught via deterministic on-chain hints (e.g. shared ENS, same CEX deposit address).

// mini case study

Linea airdrop retro: 287k sybils confirmed

We re-scored the May 2024 Linea airdrop and confirmed 23% sybil rate against the Foundation's anchor set — plus surfaced 41,000 additional addresses they missed. Full methodology + reproducible scores in the case study.

See more case studies →

Suggested plan

Growth

$2,500/mo or $0.005 per address

Right for one airdrop campaign or three medium ones. Includes evidence export, webhook, public appeal page.

See pricing →