Detect threats
one block before
they happen
Oracle manipulation. Liquidation cascades. Flash loan attacks. Sentinel detects them all — without training data, without rules, using pure information theory.
Free tier · No credit card · 3 pairs monitored
Aave v3 — Oracle divergence
Compound — Health factor drop
Morpho Blue — Liquidation cascade
Uniswap v3 — Flash loan pattern
<1.2s
Avg Detection Latency
<0.01%
False Positive Rate
5
Detection Modules
24/7
Autonomous Monitoring
Chain-agnostic detection — works everywhere
How it works
Three steps to predictive security
Connect
Point Sentinel at any oracle feed, lending pool, or DEX pair. One API call. One line of config.
Detect
Proprietary information-theoretic engine analyzes on-chain data in real-time. No training required — anomalies detected by mathematical signature.
Act
Receive alerts via webhook, email, or Slack before damage occurs. Auto-pause contracts via Safe multisig or OpenZeppelin Defender.
Why it matters
36 seconds is all it takes
The average DeFi exploit drains funds in under a minute. Sentinel detects the pattern before the first malicious transaction lands.
Without Sentinel
$2.4M lost in 36 seconds
Malicious contract deployed
T+0s
Oracle price manipulated
T+12s
Liquidation cascade triggers
T+24s
$2.4M drained from protocol
T+36s
Team discovers the exploit
T+5min
With Sentinel
$0 lost — blocked in 4 seconds
Malicious contract deployed
T+0s
Sentinel detects anomaly pattern
T+1.2s
Alert fired to team + Discord
T+2.8s
Auto-pause activated via Safe
T+4s
Attack blocked — $0 lost
T+12s
Use cases
Built for every layer of DeFi
Protocol Guardian
Lending protocols · $50M–$1B TVL
- Oracle manipulation detection
- Liquidation cascade forecasting
- Systemic concentration alerts
- Auto-pause via Safe/Defender
Treasury Sentinel
DAOs & asset managers · $100M+ AUM
- Cross-protocol exposure monitoring
- Governance proposal risk scoring
- Correlated liquidation early warning
- Multi-chain position tracking
Trading Shield
Market makers & prop desks
- MEV early-warning signals
- Wash trading detection
- Flash loan attack recognition
- Orderflow anomaly alerts
Capabilities
What Sentinel detects
Proprietary detection engine — unsupervised, deterministic, and mathematically proven. No rules to maintain, no models to retrain.
Oracle Manipulation
Detect price feed anomalies before they cascade into liquidations
Liquidation Forecasting
Predict cascade events by analyzing collateral pool health in real-time
Cross-Chain Coverage
Chain-agnostic detection — same engine works on Ethereum, L2s, and alt-L1s
Zero-Day Detection
Unsupervised algorithms detect novel attack patterns without prior training data
Real-Time Analysis
Sub-block latency — alerts fire before the liquidation transaction lands
How we compare
Math-based, not pattern-matched
Most detection tools rely on rules or supervised ML — they can only catch what they've seen before. Sentinel uses information theory to detect anomalies by their mathematical fingerprint.
| Sentinel | Hypernative | Blockaid | Forta | |
|---|---|---|---|---|
| Detection approach | Information theory | Rules + ML | Simulation | Community bots |
| Zero-day capable | ||||
| Training data needed | ||||
| Deterministic results | ||||
| Sub-block latency | ||||
| Self-hosted option | ||||
| Free tier |
Pro
50 pairs · 1 min scans
- Full REST API
- All alert channels
- 30-day history
- Priority support
Fund
Unlimited · Real-time scans
- Full API + WebSocket
- All channels
- Unlimited history
- Dedicated support
- Custom integrations
Built different
Why trust Sentinel
18+
Patents Filed
Proprietary detection algorithms protected by patent portfolio
45
Research Phases
Peer-reviewed methodology through 45 iterative research phases
0
ML Dependencies
Pure mathematics — no training data, no model drift, no bias
FAQ
Common questions
Audits find bugs in code before deployment. Sentinel monitors live on-chain behavior after deployment — detecting runtime anomalies like oracle manipulation, flash loan attacks, and liquidation cascades in real-time. They're complementary, not competing.
Below 0.01%. Our detection engine is deterministic — the same input always produces the same output. No ML-based guesswork, no noisy pattern matching. When Sentinel flags something, it's real.
No. Sentinel is fully unsupervised. It uses information-theoretic metrics to detect anomalies by their mathematical signature, not by comparing to known attack patterns. This is how it catches zero-day exploits.
Any EVM chain — Ethereum, Base, Arbitrum, Optimism, Polygon, Avalanche, and more. The detection engine is chain-agnostic by design. Non-EVM support (Solana, Cosmos) is on the roadmap.
Yes. Enterprise plan includes on-premise deployment for organizations requiring full data sovereignty. The detection engine runs as a Docker container with minimal dependencies.
Average detection latency is 1.2 seconds — faster than one Ethereum block (12s). Alerts fire before the malicious transaction is included in a block, giving you time to react.
Fully deterministic. Every detection result is reproducible and auditable. No neural networks, no training runs, no model drift. The same on-chain data will always produce the same alert.
Ready to detect before the damage?
Join protocols monitoring oracle feeds in real-time. Free tier — no credit card, no commitment.