Introduction

Synth API offers programmatic access to probabilistic price forecasts across 1-hour and 24-hour horizons for Equities, Commodities and Cryptocurrencies, powered by a decentralized network of machine learning models. The API equips traders, developers, and institutions with predictive intelligence to gain a competitive edge, identify opportunities, and make informed decisions in dynamic markets.

Synth API Features

Probabilistic Forecasts, Not Point Predictions

Unlike traditional forecasting APIs that return a single price prediction, Synth delivers ensemble forecasts constructed from individual models submitted by the top-performing data scientists on the network. Each model is selected based on live scoring and long-term consistency. Each model consists of 1,000 simulated price paths in each of the two forecast horizons: 1-hour (high-frequency) and 24-hour (low-frequency). The 1-hour forecast is designed for short-term trading, execution timing, and microstructure-aware strategies, while the 24-hour forecast supports broader positioning, risk management, 0DTE options.

• Full probability distributions — Understand the complete range of possible outcomes

• Confidence intervals — Quantify uncertainty in your predictions

• Risk-adjusted insights — Make decisions based on probability, not guesses

• Realistic market dynamics — Captures volatility clustering, fat tails, and mean reversion

Powered by The World's Highest Paying Data Science Competition

Synth runs on Bittensor Subnet 50, where 200+ machine learning models compete to generate the most accurate forecasts:

• Continuous competition — Data scientists are scored using CRPS (Continuous Ranked Probability Score)

• Quality over quantity — Only top-performing data scientists contribute to API responses

• No single point of failure — Decentralized architecture ensures reliability

• Transparent performance — All data scientists scores are publicly auditable

Battle-Tested Accuracy

All predictions are evaluated against actual outcomes using industry-standard metrics:

• CRPS scoring — Measures both calibration and sharpness of probabilistic forecasts

• Real-time validation — Data scientists are continuously scored against benchmark volatility metrics such as GARCH and GBM

• Leaderboard transparency — Track top performers and their accuracy over time

Multi-Asset Coverage

The API consolidates predictions across multiple asset classes:

• Cryptocurrencies: BTC, ETH, SOL

• Commodities: Gold (XAU)

• Equities: S&P 500 (SPY), NVIDIA (NVDA), GOOGL (GOOGL), TSLA (TSLA), AAPL (AAPL)

Meta-Model

Synth miners produce forecasts and are scored by the validator on Bittensor. Then, they are ranked into two leaderboards, for the two time horizons:

• high-frequency leaderboard: forecasts are 1h forward looking and with 1 minute increment. They are updated every 12 minutes,

• daily leaderboard: forecasts are 24h long and with 5 minutes increment. They are updated every hour.

From those 2 leaderboards, we define meta-leaderboards: aggregation of scores over a period, for better stability and considering forecast quality over time.

The default meta-leaderboard are defined as:

• high-frequency meta-leaderboard: 6-days aggregated scores

• daily meta-leaderboard: 14-days aggregated scores

On the REST API, the query parameter days controls the number of days to aggregate.

Forecast Horizons

All endpoints support two prediction horizons, controlled by the horizon query parameter:

1-Hour	1h	60 seconds	3,600s (1h)	Scalping, prediction markets, HFT signals
24-Hour	24h	300 seconds (5 min)	86,400s (24h)	0DTE options pricing, LP range optimization, risk management

If horizon is omitted, the API defaults to 24h.

The 1-hour horizon uses the top-performing miners from the high-frequency meta-leaderboard, while the 24-hour horizon uses the daily meta-leaderboard — each optimized for their respective timeframe. Miner real-time performance dashboard can be found here: https://miners.synthdata.co/

Advanced Analytics & Insights

Beyond raw predictions, Synth transforms probabilistic forecasts into actionable intelligence.

Prediction Market Intelligence

• Comparison with Polymarket prediction markets

• Cross-market arbitrage opportunities

Volatility Analysis

• Forward-looking and realized volatility metrics

• Price distribution percentiles over forecast horizon

• Historical volatility context

Options Pricing

• Theoretical call and put prices derived from ensemble forecasts

• Multi-strike coverage around current price

Risk Management

• Liquidation probability analysis for leveraged positions

• Dynamic stop-loss levels from price distributions

• Tail risk assessments

DeFi Optimization

• Optimal liquidity provider (LP) ranges for Uniswap V3 and other CLAMMs

• Impermanent loss estimates

• Probability of staying within LP bounds

Use Cases

Quantitative Trading

Build sophisticated trading strategies using probability distributions:

• Market divergence detection — Identify mis-priced contracts in prediction markets when implied probabilities diverge from Synth forecasts

• Position sizing — Use Kelly Criterion with probabilistic forecasts

• Risk management — Set stop-losses at confidence intervals

Options Trading

Price and trade options with theoretical fair values:

• Find mispriced options — Compare Synth prices vs. market

• Construct spreads — Optimize bull/bear spreads

• Hedge portfolios — Calculate optimal hedge ratios

Risk Management

Monitor and manage portfolio risk in real-time:

• Liquidation monitoring — Track leveraged position risk

• Portfolio VaR — Calculate value-at-risk across assets

• Tail risk — Understand extreme outcome probabilities

AI & Automation

Integrate with AI agents and trading bots:

• LLM integration — Connect to Claude, GPT-4, or other AI models

• Autonomous trading — Build AI-powered trading systems

• Natural language analysis — Generate market commentary

DeFi Strategies

Optimize yield farming and liquidity provision:

• LP range optimization — Set optimal Uniswap V3 ranges

• Impermanent loss forecasting — Estimate IL before providing liquidity

• Yield comparison — Compare expected returns across pools

API Structure

REST API

Get started here.

Websocket API

Get started here.

Main Endpoint Categories

Prediction Percentiles — Core probabilistic forecasts

• /insights/prediction-percentiles — Prediction percentiles (1H & 24H)

Insights — Advanced analytics

• /insights/volatility — Volatility metrics

• /insights/option-pricing — Options prices

• /insights/liquidation — Liquidation probabilities

• /insights/lp-bounds — LP range optimization

• /insights/polymarket/* — Prediction market comparisons

Support & Community

• Documentation: You're reading it

• Discord: Join our community (Scroll down the Bittensor channels to Synth)

• GitHub: mode-network/synth-subnet

• API Specification: https://api.synthdata.co/docs/swagger.json

• Email: [email protected]