Spark
Mainnet

Sightline

Sightline is an onchain analysis tool for Monad and Ethereum. Paste any wallet or token contract. It detects which, replays the full transfer history at request time, and returns an answer instead of rows. For a token: holders derived from the complete transfer log, then ranked and scored. Earliest entrants, wallets still accumulating, and wallets quietly distributing are separated out, plus concentration and a live transfer feed. For a wallet: its funding source traced to the very first inbound transfer and named when that funder is a known exchange or bridge, current holdings read through Multicall3, every contract and counterparty it keeps returning to, and a 0 to 100 signal score with every component shown. Because a holder list can hide one actor split across forty wallets, Sightline resolves each holder's funder, filters known routers and exchanges first, then runs Louvain community detection on what survives. That step is the difference between finding a real cluster and flagging every DEX user as one. Methodology follows Arbitrum Foundation and Trusta Labs sybil research. Conclusions can be written onchain. Connecting a wallet records a risk attestation in a registry contract deployed on the Monad mainnet: public, permanent, and signed by the flagger rather than stored in our database. What I learned: the hardest constraint was refusing to guess. Most Monad tokens have no reliable price feed, so any realised gains figure would be silently wrong. Cutting PnL entirely forced better primitives, funding provenance, timing, flow and concentration, all verifiable onchain. The second lesson was that filtering infrastructure before clustering matters more than the clustering algorithm itself. Without it, every popular router reads as a sybil ring.

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