01
Profile Onboarding
Registering target wallets, smart contracts, or entity clusters for persistent observation.
Ongoing monitoring
Autonomous vigilance
and signal logic.
Persistent monitoring of critical entities and custom watchlist triggers
Point-in-time checks are insufficient for digital assets. Operations and compliance teams need automated oversight when watched profiles trigger material changes or illicit transactions.
Watchlist engine
Track material behavioral change, not just raw chain activity.
Live monitoring
02
Baseline Calibration
Establishing normal behavioral parameters to eliminate false positives and irrelevant noise.
03
Real-time Listeners
Continuous monitoring of mempool and finalized block-space for specific interaction triggers.
04
Intelligence Delivery
Automated notification via low-latency API, Webhook, or secure dashboard alert.
Why monitoring exists
Monitoring is what happens after the first review, when the real risk starts moving.
This page is built for teams that need persistent oversight on critical entities, counterparties, and treasury routes after onboarding or screening is already complete.
01
Point-in-time clearance decays immediately.
A wallet that looked acceptable at review time can drift into risky behavior hours later if no monitoring layer exists.
02
Noise destroys operator trust in alerts.
Teams need thresholds, baselines, and selective escalation, not raw event firehoses that bury the important movement.
03
Response time matters when behavior changes.
Monitoring only creates value if it can move suspicious changes into human review before the exposure compounds.
How it works
Baseline normal behavior, then isolate the changes that matter.
ChainÆther acts as a specialized data-relay, listening for on-chain events keyed to your specific watchlists and scoring them against your custom risk-thresholds in real-time.
01
EVENT_LISTENER_v2
Sub-second event detection across 50+ chains and L2s, ensuring immediate notification of material events.
02
ANOMALY_DETECTION
Machine-learning models that baseline "normal" behavior to identify sudden, high-risk shifts in wallet activity.
03
THRESHOLD_ENGINE
Customizable rule-based engine for filtering high-noise data into tactical, actionable intelligence.
What can be tracked
Watched address lists
Material movement alerts
New service interaction alerts
Risk change detection
Threshold notifications
Scheduled intelligence digests
What triggers review
01
New interaction with unknown CEXs
02
Transfer volume exceeding 30-day mean
03
Interaction with newly deployed contracts
04
Movement to known mixer-deposit addresses
05
Cross-chain bridge departure events
How alerts reach the team
Monitoring only works when delivery is fast, selective, and actionable.
01
Profile Onboarding
Registering target wallets, smart contracts, or entity clusters for persistent observation.
02
Baseline Calibration
Establishing normal behavioral parameters to eliminate false positives and irrelevant noise.
03
Real-time Listeners
Continuous monitoring of mempool and finalized block-space for specific interaction triggers.
04
Intelligence Delivery
Automated notification via low-latency API, Webhook, or secure dashboard alert.
Why teams use it
Turn one-time review into active operational control.
Transform static intelligence into proactive operational control with real-time visibility into counterparty behavioral shifts.
Real-time alert streamWatchlist dashboardPeriodic summariesEscalations for critical events
Team review
Use this route when the team needs to evaluate watchlist logic, thresholds, and alert delivery.
Book monitoring reviewLive deployment
Use this route when critical wallets, counterparties, or treasury flows need continuous oversight now.
Open monitoring deployment