DrogScan is a blockchain AML intelligence platform: analyze wallet risk, trace counterparties, monitor how risk changes over time, visualize on-chain relationships, and turn complex blockchain data into clear, readable intelligence. Know the wallet before you trust it.
One address in — a complete intelligence report out. Enter a wallet, pick its network and DrogScan collects provider risk, labels, address profile, behavior, counterparties and transaction intelligence — each section with its own status — normalizes it into an immutable snapshot and explains the result. Scan the same wallet again and DrogScan computes a deterministic diff against your previous observation (score delta, new and absent labels, new indicators, new counterparties, activity and behavior changes) and charts the wallet's risk history.
Paste up to dozens of wallets and DrogScan builds an interactive relationship graph of direct connections and shared counterparties; scan hundreds at once with Multi Scan; or use the whole platform from the Telegram bot with the same account, balance and history. An evidence-bound AI analyst reasons only over the supplied evidence — it never invents labels, transactions or ownership — and every report is exportable as monochrome PDF, CSV and JSON.
DrogScan supports 16 networks — Ethereum, BNB Smart Chain, Polygon, Arbitrum One, OP Mainnet, Base, Avalanche C-Chain, zkSync Era, TRON, Bitcoin, Litecoin, Dogecoin, Bitcoin Cash, Solana, TON and Sui — and is built for compliance teams, investigators, exchanges, OTC desks and everyone who needs to know a wallet before trusting it. The source code is private; the product is live at drogscan.com.
| Category Compliance |
Status New |
Bundle Standalone product — not bundled |
Pricing Shown in-app before you pay |
- Risk score & level — the provider score normalized into LOW · MODERATE · HIGH · SEVERE, expressed with contrast and typography, never colour.
- Risk indicators & exposure details — e.g. Involved Illicit Activity, Interact With High-risk Tag Address; exposure per entity with type (sanctioned entity, illicit activity…), direct or indirect with hop count, volume and share.
- Labels — provider-supplied labels exactly as observed; nothing is inferred by DrogScan.
- Address profile — exchanges, DEXs, mixers, bridges, NFT platforms the address touched; malicious associations (phishing, ransom, stealing, laundering); identity signals (gas source, ENS, linked wallets, social).
- Wallet overview — balance, transaction count, incoming / outgoing, total received / spent, first and last observed activity, provider and scan ID.
- Behavior — transaction action categories (transfer, exchange, …) and their share of incoming and outgoing activity.
- Counterparty intelligence — entities that exchanged value with the address, ranked by observed volume, with icons for exchanges, DEXs, mixers, bridges and services; unknown entities get a clean generic mark.
- Transaction investigation — top incoming and outgoing counterparties with labels, types, transaction counts, amounts and transaction hashes; searchable, paginated.
- Evidence first — every section keeps its provider evidence, status and latency; facts and interpretation are always separated. One unavailable section never blocks the report.
- Automatic network detection — paste an address and its network lights up; EVM
0x…addresses always require an explicit network because the same address exists on many chains. - Professional reports — monochrome PDF, CSV and JSON exports, reproducible from stored snapshots; report downloads are free.
- Every scan is an immutable snapshot for wallet + network — never overwritten.
- Automatic comparison on repeat scans — Previous vs Current score, the delta, days between scans, new and absent labels, new risk indicators, new counterparties, platform, activity and behavior changes.
- Wallet history — the full risk chart over time, labels over time and a change timeline; every event references a stored snapshot.
- Trend classification — e.g. rapidly rising — classified deterministically, then explained by AI.
- Compare any two stored scans manually — without a new charge.
- Wallet identity is network + normalized address — snapshots are never compared across networks.
- Multi-wallet graph — paste up to 50 wallets (one per line, comma-separated or CSV), choose a period (1 month · 3 months · 1 year) and DrogScan fetches each wallet's transaction history, deduplicates it and builds a deterministic graph of direct relationships and shared counterparties.
- Interactive monochrome map — zoom, pan, search; filter by asset, direction and strength; submitted-only and shared-counterparty modes; fullscreen on mobile.
- Strongest connections, top wallets, flow timeline and detailed transactions next to the graph.
- Optional AML enrichment — risk and labels for submitted wallets and major hubs when enabled by the administrator.
- No false ownership claims — a shared counterparty is exposure, not proof that wallets share an owner, and the product says so.
- Hundreds of wallets at once — one address per line (optionally
address,network) or a CSV upload, with a default network. - Validation table — valid, invalid and duplicate rows and the exact total before you start.
- Results with deltas — every wallet with risk, previous score and change, live progress per row, an aggregate AI summary, and PDF / CSV download.
- Structured analysis — executive summary, current risk assessment, primary activity, important findings, risk factors, suspicious patterns, counterparty observations, recommended manual review and explicit limitations — with a confidence figure.
- Reasons only over supplied evidence — the AI never invents labels, transactions or ownership, and is instructed never to claim wrongdoing.
- Change explanation — on repeat scans the AI receives both snapshots plus the deterministic diff and explains what changed and why it matters.
- Deterministic first — backend code computes every difference before the AI sees anything; AI sections are always marked as interpretation, not provider fact. AI retries are free.
- Start from Telegram without registering on the website — @DrogScanBot creates your account, shares one balance and one history, and streams scan progress in a single message that updates in place.
- AML Scan — choose network, paste wallet, confirm, receive the summary with previous risk and change.
- Multi Scan & Relationships — paste lists, get aggregate results and links to the interactive graph.
- Secure linking — cryptographic one-time deep links (valid 10 minutes) bind Telegram to a website account; no typed usernames are trusted. Accounts created from the bot get a temporary password replaced on first web login.
- Deposits & reports — top up with a QR code and TXID, receive PDF reports as documents.
- Live dashboard — balance, wallets checked, risk increases, high-risk wallets; scanning activity and average risk over 30 days; risk distribution; the wallets you monitor sorted by current risk with the change since your previous scan; networks; recent scans; largest recent risk increases. Everything updates live.
- Scan history — every scan with network, risk level, previous score, delta, source (website · Telegram · Multi Scan) and status filters (completed · completed with warnings · running · failed).
- Reports, Wallets & Risk Changes, Relationship Jobs — dedicated views for stored reports, monitored wallets and graph jobs.
- Balance top-ups — pick an asset and network, send funds to the shown address (QR available), paste the transaction hash; an operator verifies it and the page and Telegram update automatically. Each hash can be credited once.
- Notifications, light / dark appearance, help & documentation built in.
- Built like the infrastructure it investigates — Argon2 password hashing, secure HttpOnly session cookies, CSRF protection, brute-force lockouts, encrypted provider secrets, rate limiting and strict backend authorization.
- Immutable ledger & snapshots — balances are an append-only ledger with an audit log; historical AML snapshots are never overwritten; charging is idempotent.
- Strict privacy — your reports belong to your account. Nobody sees your history because they scanned the same public wallet.
- Responsible reading, by design — provider intelligence and AI interpretation are decision support, not legal conclusions; interaction with a labeled entity is exposure, not guilt.
| Family | Networks |
|---|---|
| EVM | Ethereum · BNB Smart Chain · Polygon · Arbitrum One · OP Mainnet · Base · Avalanche C-Chain · zkSync Era |
| Bitcoin-like | Bitcoin · Litecoin · Dogecoin · Bitcoin Cash |
| Other | TRON · Solana · TON · Sui |
Wallet identity is network + normalized address. The same
0x…address on Ethereum and BNB Chain is treated as two different wallets, so the network is always required for EVM addresses.
| Section | Content |
|---|---|
| Risk gauge | DrogScan risk level (LOW / MODERATE / HIGH / SEVERE), provider score /100, scan time, report ID, first-observation or previous-vs-current badge |
| Risk breakdown | Provider score and level, risk indicators, risk exposure details — entity, type, direct / indirect + hops, volume (USD), share |
| Changes since previous scan | Score delta, new risk indicators, new / absent labels, new counterparties, transaction activity change, trend |
| Wallet overview | Balance, transactions, incoming / outgoing, total received / spent, first / last activity, provider, scan ID |
| Labels | Provider-supplied labels, nothing inferred |
| Address profile | Exchanges, DEX, mixers, NFT, malicious associations, identity signals (gas source, ENS, wallets, social) |
| Behavior | Action categories and share of incoming / outgoing transactions |
| Counterparties | Entities by observed volume and share |
| Transaction investigation | Top incoming / outgoing counterparties with labels, types, tx counts, amounts and hashes |
| Historical risk timeline & activity timeline | Every observation of the wallet in your account, oldest first |
| Evidence & technical details | Per-section status and latency, normalized snapshot JSON, schema version, requested via, created / completed, previous scan |
| AI interpretation | Executive summary, current risk assessment, primary activity, important findings, risk factors, suspicious patterns, counterparty observations, confidence |
The official key visual and real screenshots from drogscan.com — the public site and the signed-in product (a live AML report of a public TRON address).
 DrogScan — Trace Risk. See Connections. Blockchain AML intelligence · historical risk tracking · relationship graphs |
 AML Scan — paste any address; 16 supported networks, detected automatically |
 drogscan.com — the landing page with a live session preview: scan, compare, relationships, report |
 AML Report — DrogScan risk level, provider score, risk indicators and exposure details with hop distance, volume and share |
 Address profile — exchanges, DEXs, mixers, NFT, malicious associations and identity signals; behavior distribution |
 Counterparties ranked by volume and the transaction investigation with hashes |
 AI interpretation — executive summary, current risk assessment, primary activity and findings, generated only from the normalized evidence |
 Historical risk tracking — every scan is an immutable snapshot; the chart shows how a wallet's risk changed over time |
 Relationship mapping — a deterministic, interactive graph of direct connections and shared counterparties |
 Live 3D network scene — nodes, transfers, the scanner ring and hop depth, with anonymised live activity |
 AML wallet screening — risk score and indicators, counterparty intelligence |
 Telegram bot — AML scan, Multi Scan & relationships, secure linking, deposits and reports |
From a wallet address to actionable intelligence
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flowchart LR
A["Wallet address<br/>+ network (16 supported)"] --> B["Collect provider intelligence<br/>risk · labels · profile · behavior<br/>counterparties · transactions"]
B --> C["Normalize<br/>immutable snapshot · per section status"]
C --> D{"Previous snapshot<br/>for this wallet?"}
D -- "yes" --> E["Deterministic diff<br/>score Δ · labels · indicators<br/>counterparties · activity"]
D -- "no" --> F["Baseline stored"]
E --> G["Evidence-bound AI<br/>summary · findings · risk factors<br/>limitations · change explanation"]
F --> G
G --> H["Report<br/>web · Telegram · PDF / CSV / JSON"]
subgraph Graph["Relationship Search & Multi Scan"]
direction LR
P["Up to 50 wallets<br/>1M · 3M · 1Y"] --> Q["Fetch & deduplicate<br/>transaction history"] --> R["Deterministic graph<br/>direct links · shared counterparties"] --> S["Interactive monochrome map"]
end
A -.-> Graph
| 🏦 Compliance & AML teams Screen deposits and withdrawals before you accept them, document exposure with provider evidence and hop distance, and export PDF/CSV for the case file. |
🔎 Investigators & analysts Trace counterparties and transaction hashes, map relationships between dozens of wallets, and read an AI analysis that never goes beyond the evidence. |
| 💱 Exchanges, OTC desks & payment providers Risk-score client wallets at onboarding, re-scan them over time and get alerted to the ones whose risk is climbing. |
🤝 Businesses paid in crypto Know a wallet before you trust it — one address in, a readable report out, on the web or straight from Telegram. |
| 🧾 Auditors & risk officers Immutable snapshots, deterministic diffs and a change timeline make every risk conclusion reproducible and explainable. |
📊 Bulk due diligence Multi Scan hundreds of wallets from a CSV, with validation, live progress, risk deltas and an aggregate AI summary. |
DrogScan is a standalone product with its own account and balance — it is not part of the drogoz.network bundles. A public price list is not published here yet: every price is shown inside the product before anything is charged, and your first AML scan is free. Questions about pricing — ask @drogoz on Telegram or write to hello@drogoz.network.
A live demonstration is 100% free on every product.
See DrogScan in action before you pay — our agent gets in touch and walks you through a live demonstration.
Registration is handled by our team — get in touch and receive personal access.
| Channel | Link |
|---|---|
| 🌐 Website | drogscan.com |
| 📄 Details page | — standalone product; not in the drogoz.network catalogue |
| 🔒 Source code | Private repository — this public repo documents the product only |
| @DrogScanBot | |
| 📚 Help & documentation | drogscan.com/help |
| 🏛️ Drogoz Network | drogoz.network · Services · Packages · Pricing · Presentation |
| ⚖️ Legal | Terms of Service · Acceptable Use · Privacy · Refunds · Disclaimer · Compliance |
| 🐙 GitHub | deepdrogo |
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© 2026 Drogoz Network. All rights reserved. Provided strictly for lawful use — see the Legal Center. Each user is solely responsible for how they use the software.