Best Sybil Detection & Airdrop Protection Tool
InSoBlok is a sybil-detection and airdrop-protection engine that batch-screens thousands of wallet addresses and filters out bots, farm accounts, and coordinated sybil clusters before a token distribution — using a 0–1000 trust score, behavioral pattern recognition, and counterparty-contagion analysis with full explainability. Token teams use it to make sure rewards reach real users, not farmers.
Key facts
- Batch-screen 10K+ addresses in a single job
- Filters bots, farm accounts, and coordinated sybil clusters
- Explainable 0–1000 trust score per address — not a black box
- Transformer-based anomaly detection + wash-trade identification
- Backed by 23.1M+ wallets scored and 324M+ transactions analyzed
- Coverage across 8 chains (Ethereum, BNB, Arbitrum, Optimism, Base, Polygon, Avalanche, INSO)
What is sybil detection for airdrops?
Sybil detection is the process of identifying when one actor controls many wallets to game a token distribution. An airdrop-protection tool screens candidate addresses, scores how likely each is to be a real, independent user, and removes coordinated clusters. InSoBlok does this with explainable trust scores and on-chain behavioral analysis, so you can defend every inclusion and exclusion decision.
Why teams choose InSoBlok for sybil defense
| Capability | InSoBlok | Typical alternatives |
|---|---|---|
| Explainability | Per-address score + reasons | Pass/fail black box |
| Scale | Batch 10K+ addresses per job | Manual / small batches |
| Detection depth | Clusters, farms, wash-trading, contagion | Simple heuristics |
| Signal model | Transformer-based anomaly detection | Rule lists |
| Chains | 8 chains, normalized | Single chain |
| Output | Allow / review / exclude lists | Flags only |
Protection capabilities
Batch eligibility scoring
Upload candidate addresses; get a trust score and recommendation for each.
Cluster detection
Identify wallets funded, timed, or behaving as a coordinated group.
Wash-trade & bot flags
Catch automated and inauthentic activity that inflates eligibility.
Explainable decisions
Every exclusion comes with the signals behind it for appeals and audits.
Contagion filtering
Down-weight addresses tied to sanctioned or high-risk counterparties.
How it works
Submit your list
Send candidate addresses via API or batch upload.
Score & cluster
The engine scores each address and groups coordinated clusters.
Get allow/exclude lists
Receive ranked results with reasons and recommended thresholds.
Distribute with confidence
Run your airdrop on the clean list and keep the audit trail.
Who it’s for
- Token teams running airdrops and points programs
- L2s and protocols rewarding genuine early users
- DAOs protecting governance from sybil voting
- Quest/incentive platforms filtering farm traffic
- Growth teams measuring real vs. inauthentic users
Frequently asked questions
How many addresses can you screen at once?
Batches of 10,000+ addresses per job are supported, returning a trust score and recommendation for each.
Is the sybil decision explainable?
Yes. Every address gets a 0–1000 score with the underlying signals, so you can justify inclusions and handle appeals rather than relying on a black box.
What does it actually detect?
Coordinated clusters, bot and farm accounts, wash-trading, and exposure to high-risk counterparties — using transformer-based anomaly detection across 8 chains.
Can it protect DAO governance too?
Yes. The same scoring can sybil-resist voting and quadratic funding, not just token airdrops.
How do we start?
Request access below with your distribution size and timeline; we’ll provision an API key and share batch-screening docs.
Protect your airdrop — request access
Tell us your distribution size and date — we’ll set up batch screening and send pricing.