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From July 24 th, 2026, DEXtektif will transition to new domains as 🌐 Website: dextektif.faizath.com (formerly dextektif.com) |
AI-powered monitoring platform that watches transactions on Decentralized Exchanges (DEX) in real time to detect money laundering and protect Indonesia's crypto ecosystem.
- What is DEXtektif?
- Project Showcase Video
- Competition Achievement
- The Problem
- How DEXtektif Solves It
- Key Features
- Screenshots
- Repositories
- Links & Contact
DEXtektif is an AI-powered risk-monitoring platform built to help regulators and crypto businesses in Indonesia detect money-laundering activity on Decentralized Exchanges (DEX) — before it does damage. It was created for the BI-OJK Hackathon 2025.
This organization hosts the repositories that make up the DEXtektif platform — the tools regulators, compliance teams, and API consumers use to monitor wallets, investigate suspicious activity, manage blacklists, and generate compliance reports. See Repositories below for the full list.
DEXtektif was honored as a Top 15 Semifinalist of the BI-OJK Hackathon 2025, hosted by Bank Indonesia (Indonesia's Central Bank) and Otoritas Jasa Keuangan (OJK) (Indonesia's Financial Services Authority).
📌 Competition Page: https://archive.faizath.com/archive/1768636861.333245/singlefile.html (archived — the original page at https://hackathon.fekdi.co.id/ is down)
BI-OJK Hackathon 2025 is a nationwide hackathon jointly run by Bank Indonesia and OJK to source technology-driven solutions across three problem statements: AI as a Service (AIaaS) for Digital Delivered Service Export, Financial Innovation & Public Services, and Risk Management & Consumer Protection (fraud detection, AML/CFT compliance, and blockchain/on-chain analysis — the track DEXtektif competed in). It ran from its kickoff on June 5, 2025 through submissions, semifinals, and a final quarantine/judging round on October 28–29, 2025, culminating in a winner announcement and showcase at FEKDI 2025 (Oct 30–Nov 1, 2025), with prizes up to Rp 200,000,000 per category.
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DeFi's openness is also its biggest blind spot. DEXtektif exists because:
- Anonymous transactions are hard to trace — DEX trades don't go through KYC'd intermediaries.
- Fake tokens are trivial to create — anyone can launch a token on-chain in minutes.
- Prices get manipulated via wash trading — inflating volume/price to lure victims.
- Regulators lack the tooling — OJK and PPATK have no purpose-built, real-time DEX monitoring system.
The scale of the problem is significant:
| Metric | Value |
|---|---|
| Global crypto money laundering value, 2024 | $1.3 billion (+280% vs. 2023) |
| Bitcoin transactions potentially tied to illicit activity | ~46% |
| Funds laundered after the Bybit hack | $224 million in 60 hours |
| Indonesian crime funds laundered via crypto | Rp 800 million, with 10,000+ scam tokens/month, of which regulators can only monitor the top 20 |
DEXtektif implements a two-layer hybrid AI architecture that watches Solana (the chain carrying ~60% of all crypto transactions and ~95% of memecoin trading volume) in real time:
Solana RPC Stream
│
▼
Data Ingestion & Feature Engineering
│
├──► Layer 1: Early Detection (Isolation Forest)
│ → instantly scores each transaction for statistical anomalies
│
└──► Layer 2: Deep Analysis (Graph Neural Network)
→ maps wallet/transaction networks to uncover hidden
collusion, wash trading & rug-pull patterns
│
▼
XGBoost Aggregator → Final Risk Score (0–100)
│
├──► Regulator Dashboard (OJK Intelligence)
└──► Client API → { "status": "BLACKLISTED", "risk_score": 97 }
- Fast + deep, together: Layer 1 catches obviously anomalous transactions instantly; Layer 2 uncovers coordinated fraud networks that only become visible when relationships between wallets are analyzed.
- Real-time alerts: suspicious activity is flagged in under 5 minutes.
- Regulation-aligned: designed around POJK 27/2024 and FATF guidance for crypto AML/CFT.
- Built for the local gap: existing tools like Chainalysis, CipherTrace, and Elliptic are slow to flag new/small tokens and aren't tailored to Indonesian regulators — DEXtektif focuses specifically on wash trading and scam-token detection on DEXs, in near real time.
Core capabilities delivered across the DEXtektif platform:
| Feature | Description |
|---|---|
| 📊 Dashboard | Real-time KPIs — transactions processed, suspicious wallets, alerts generated, model accuracy — updated live. |
| 🔎 Wallet Analysis | Look up any wallet address for its risk profile, transaction history, and behavioral risk factors. |
| 🕸️ Transaction Graph | Interactive graph visualization of fund flows and wallet relationships (via ReactFlow). |
| 🚫 Blacklist Management | Add, search, filter, and bulk-manage flagged wallets, with CSV import/export. |
| 🌡️ Risk Heatmap | Visual overview of risk concentration across monitored wallets/tokens. |
| 🗂️ Case Management | Track and manage ongoing investigations into flagged activity. |
| 📄 Compliance Reports | Generate Quarterly, Annual, AML, SAR, and Investigation reports — with AI-assisted report drafting and PDF export. |
| 🧪 API Studio | Manage API keys and preview live risk-scoring responses for third-party integrations. |
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| Repository | GitHub | Deployment | Tech Stack |
|---|---|---|---|
| dextektif-web | DEXtektif/dextektif-web | dextektif.faizath.com | Next.js · TypeScript · Tailwind CSS · Cloudflare Workers |
- 🐙 GitHub: github.com/DEXtektif
- 🌐 Live Deployment: dextektif.faizath.com
- 📧 Contact: contact@dextektif.faizath.com
⚠️ Domains and the contact email above are migrating on July 24, 2026 — see the notice at the top of this README for the new addresses.
Built for the BI-OJK Hackathon 2025 🇮🇩