Stop scams before users sign. One API call. Sub-2-second latency. Integrate into your wallet, DEX, launchpad, or Mini App in under a day.
In May 2026, @RAGPULLIN — a TON community researcher with public Telegram and X channels — was approached by a token creator with an unusual proposition: take over the public-facing "CTO" role for a recently launched token, in exchange for control of its TG and X channels. Social proof was supplied. Urgency was supplied.
This was not an investment ask. It was a reputation-laundering recruitment — a coordinated attempt to install a respected community figure as the public face while the original insiders quietly held supply, ready to exit on the next pump.
Before accepting, RAGPULLIN scanned the contract through TonWise. The response, in under two seconds:
EQAc2DO-7EOnVAv985EL-RhpW_9l5DmhYLjCrd02IsyNvDzbArmed with this, RAGPULLIN confronted the would-be partner and demanded their wallet for verification. The partner refused, dropped the CTO framing, and pivoted to pleading for a "send it back to 10k MC" — an explicit ask to help pump the price so existing insiders could exit again.
RAGPULLIN walked away. He then published the entire exchange — chat screenshots, TonWise verdict, holder graph — on his public channel as a community warning. The Sybil cluster never got their public face. His audience was never promoted into a coordinated rug.
This is not a hypothetical. It ran in production, on a public scan endpoint, against a freely chosen target. The detection logic is identical to what is available via API today.
The TON ecosystem now does $1.75 billion in daily trading volume with 48.5 million cumulative wallets and over 2 million daily transactions. Telegram operates the largest validator on the network. This scale carries a scale of attack surface.
Across the broader memecoin landscape, more than $500 million was lost to rug pulls and coordinated scams in 2024 alone (Merkle Science). The dominant attack vector in 2026 is no longer the simple honeypot. It is coordinated reputation laundering: sybil-controlled token supply paired with active recruitment of unsuspecting KOLs, researchers, and community figures to serve as the public face — while the insiders retain the ability to exit at will.
This class of attack defeats:
It does not defeat real-time holder-cluster graph analysis paired with master-wallet attribution. That is what TonWise provides.
GET /api/v1/shield
Trust score (0–100), risk symbols, taint exposure, holder topology. Sub-2s response. Sub-200ms cached. 22,000+ indexed addresses, 100+ confirmed bad actors, growing.
POST /api/v1/agent-guard
ALLOW / REVIEW / BLOCK decisions for autonomous agents. Per-agent anomaly scoring. HMAC-signed audit receipts. Idempotent.
Embedded in scan response
Graph-based cluster detection. Sybil holder clusters, layered rug prep, multi-hop laundering. The detection that powered the RAGPULLIN case.
All integrations are read-only from the partner side. TonWise never holds credentials, never moves funds, never custodies.
We are flexible on first-customer terms. The priority right now is integration depth and signal quality, not unit economics.
A 30-minute call. We walk through your current fraud-loss exposure on TON, show the integration shape relevant to your stack, discuss whether a 30-day pilot makes sense. If a pilot does not fit, we also offer threat-intel data feeds (CSV / webhook) at a fixed annual rate as a lighter-weight alternative.
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