Validate continuously.
Process multi-source market streams and flag unusual observations with anomaly detection before aggregation.
STREAMING ML VALIDATION INTELLIGENCE FOR ON-CHAIN MARKETS
The next move.
A clearer signal.
Markets move continuously.
Your oracle should think ahead.
We’re developing ML-powered data infrastructure that brings streaming validation and predictive signals to DeFi.
Discover our approach ↗THE DELTA PERSPECTIVE
ILLUSTRATIVE SIGNAL · NOT LIVE DATAFrom market noise to forward insight.
PRICE / NORMALIZEDFORECAST HORIZON
Source priceValidated signalForecast + uncertainty
DESIGNED FOR ETHEREUM & L2 ECOSYSTEMSStreaming data / Machine learning / On-chain delivery
01 / OUR APPROACHMore context.
More context.
Better-informed decisions.
An oracle should deliver more than a number. Our proposed network adds a layer of intelligence between market data and smart contract execution.
Make uncertainty visible.
Combine source observations into confidence-weighted spot prices, with explicit indicators of data quality.
CONFIDENCE-WEIGHTED DATALook one step ahead.
Pair spot feeds with forecast horizons and uncertainty intervals to support proactive risk monitoring.
PREDICTIVE SIGNALS02 / THE INFRASTRUCTUREBuilt in layers.
Built in layers.
Connected by intelligence.
Compute-intensive models run off-chain. Compact oracle outputs are designed for delivery to Ethereum and Layer 2 smart contracts.
01 / INGEST
→Market streams
Exchange, DEX & on-chain data
02 / EVALUATE
→ML engine
Normalization, anomaly detection & forecasting
03 / AGGREGATE
→Weighted signal
Source quality & consensus
04 / DELIVER
On-chain oracle
Spot, prediction, confidence & timestamp
Inside the proposed model +
Anomaly detection
Isolation Forest scores unusual observations. Source weights decrease as anomaly scores increase.
Forecasting
A planned LSTM model estimates future prices from historical windows. Forecast performance requires out-of-sample evaluation.
Aggregation
Weighted spot price = Σ(weight × source price) / Σ(weights). A quality score is distinct from a calibrated probability of accuracy.
03 / APPLICATIONSA forward view.
A forward view.
Across DeFi.
Designed for protocol teams building more responsive financial infrastructure.
See collateral risk earlier.
Explore predictive signals for risk alerts and more informed collateral policy.
Put volatility in context.
Inform funding research and exposure monitoring with forward-looking market signals.
Monitor pressure on the peg.
Investigate early indicators of market dislocation and liquidity stress.
Prepare for cascading moves.
Combine anomaly flags and forecast uncertainty to support early warning systems.
04 / DEVELOPMENT ROADMAPA measured path
A measured path
to a smarter oracle.
Proposed milestones. Timing depends on validation, security review, and pilot results.
- PHASE 01 · FOUNDATION
Validate the core.
Spot feeds, anomaly detection, and a testnet MVP.
- PHASE 02 · PREDICTION
Test the forward view.
Forecasting models, performance evaluation, and DeFi pilots.
- PHASE 03 · NETWORK
Expand with confidence.
Progressive decentralization and cross-chain expansion.
The future is uncertain.
Your data should say so.
Compare plans ↗Predictive oracle infrastructure. Currently in concept and development.