What is Blockchain Black Book

Blockchain Black Book is a proactive fraud prevention and player integrity system built specifically for crypto casinos and online gaming platforms. It combines blockchain graph traversal and AI behavior-based risk scoring to identify and stop malicious actors before any damage occurs. It supports collaboration across operators with privacy-first identity fingerprinting and decentralized proof.

Why “Black Book”

We’re inspired by the original casino “black book” a shared understanding of bad actors used to protect fair play and public trust. In the 1980s, surveillance teams relied on pit reports, manual logs, and inter‑operator alerts to catch coordinated cheating. We modernize that idea for crypto gaming.

From Manual Notes to Graph Intelligence

Then: human observation, notebook entries, and ad‑hoc collaboration kept cheaters in check.

Now: on‑chain graph traversal and behavior‑based ML surface syndicates, obfuscation techniques, and collusive rings before payouts.

A Simple Timeline
  • 1980s: Surveillance + manual incident logs; early shared lists.
  • 2000s: Digital systems and centralized risk operations.
  • Today: Shared integrity ledger + graph analytics + AI scoring.
Mission: Keep play fair, stop abuse early, and strengthen platform trust.

Key Capabilities

Real-Time Fraud Prevention
Detect cheating patterns before payouts occur.
Blockchain Graph Analytics
Trace wallet networks, obfuscation techniques, syndicate linkages, and collusive actors.
AI Risk Scoring
Behavior-based scoring to isolate abnormal gaming and transaction patterns.
Shared Player Integrity Ledger
Cross-casino intelligence network to block repeat offenders.
Responsible Gaming Self-Exclusion
Voluntary protection options to support regulatory compliance.

How It Works

Simple API integration at the point of deposit. You send a wallet and basic context, we return a risk score and actionable signals in milliseconds. Privacy-preserving by default; no custodial KYC exposure required.

1. Deposit Event
Player wallet • Deposit details
2. Graph Traversal
Obfuscation techniques • Syndicate links
3. ML Scoring
Cheater • Bonus‑abuse • Collusion models
4. Response
Risk score • Reasons
5. Action
Allow • Review • Block • Flag for exclusion
Deposit‑Check API
Query this endpoint whenever you receive a crypto deposit. We return a score from 0 (safe) to 100 (high risk), plus structured reasons and suggested actions.
POST /v1/deposits/score
Content-Type: application/json
Authorization: Bearer <YOUR_API_KEY>
{
  "wallet": "0xA1b2...",
  "tx_hash": "0x9f3...",
  "chain": "ethereum"
}
Sample Response
{
  "score": 92,
  "label": "high_risk",
  "reasons": [
    "Known cheater cluster match",
    "Syndicate linkage confidence: 0.77"
  ],
  "exclusion": {
    "self_excluded": false
  }
}
Integrates cleanly with payout holds, bonus eligibility checks, and KYC/AML workflows. Bulk/batch endpoints and webhooks available.
Ready to see it in action? Request a private demo and we’ll run a free pilot on a small sample of your traffic.

Value to Casinos

Reduce fraud loss and bonus exploitation costs.
Stop abuse from coordinated multi-accounting rings.
Improve platform trust and longevity.
Strengthen compliance and responsible gaming posture.

Security & Privacy

Built for sensitive risk operations. Private by default, secure in transit and at rest.

Data Minimization
Only cryptocurrency wallet addresses are required. No storage of full player PII in scoring pipelines.
Access Control
Least‑privilege API keys, IP allow‑listing, audit logs, and role‑based console access.
Compliance Ready
Supports responsible gaming & self‑exclusion workflows. Designed to align with AML / KYC obligations.

FAQ

How is the risk score calculated?
We combine blockchain graph signals (wallet clustering, mixer proximity, flow anomalies) with gameplay and deposit context features. The model outputs a 0–100 score plus human‑readable reasons.
Which chains are supported?
Ethereum, BNB Smart Chain, Polygon, Tron, Bitcoin, and Litecoin. More are on the roadmap.
Do you store player PII?
No. Scoring uses wallet‑level signals and hashed identifiers. Optional user IDs sent for deduplication are salted and hashed.
How do we integrate?
Call the Deposit‑Check API on each deposit. You’ll receive a score, reasons. SDKs and webhook examples are available.
How are false positives handled?
Each decision includes reasons and confidence so you can set precise allow/review/block rules and tune thresholds to your risk appetite.
What are common obfuscation techniques?
Bad actors use methods to mask funds and relationships. Examples include:
  • Mixers / tumblers (pooling and re‑emitting funds)
  • CoinJoin / PayJoin / CoinSwap (collaborative transaction patterns)
  • OTC flows and off‑ledger settlement (private counterparties)
  • Peel chains and structuring (gradual splitting across hops)
  • Chain hopping via bridges and cross‑chain routers
  • Privacy pools and token mixers (e.g., Tornado‑style systems)
  • Privacy coins features (shielded pools, stealth addresses, ring signatures)
Our graph traversal and behavior scoring detect these via cluster linkage, mixer/bridge proximity, temporal/amount fingerprints, and anomalous path structures.

Upgrade Your Fraud Defense.

Schedule a private demonstration.

Schedule on Calendly

Prefer email? kevin@chainlabs.ai