BitFan
Public Service Atlas for Bittensor
BitFan
You can use Synth's dashboards and paid API to get probability-based market forecasts, volatility estimates, options pricing, liquidation-risk signals, and prediction-market comparisons for crypto, gold, and selected equities.
Synth provides probabilistic financial market intelligence. Instead of giving only past data, it generates ranges of possible future outcomes and turns them into practical outputs such as volatility estimates, option-pricing views, liquidation-risk signals, liquidity-range suggestions, and prediction-market comparisons. The target user is a trader, fund, market-risk team, or developer building trading and analytics products. The public dashboard can help non-developers inspect outputs, but the main commercial product is API access. The product is live and relatively developed compared with many early projects. It has dashboards, public pricing, REST docs, WebSocket docs, and AI-assistant connector docs. Some surfaces remain inconsistent, including differences between public reward counters and possible pricing/authentication ambiguity.
The target user is a trader, fund, market-risk team, or developer building trading and analytics products. The public dashboard can help non-developers inspect outputs, but the main commercial product is API access.
Synth provides probabilistic financial market intelligence. Instead of giving only past data, it generates ranges of possible future outcomes and turns them into practical outputs such as volatility estimates, option-pricing views, liquidation-risk signals, liquidity-range suggestions, and prediction-market comparisons.
Closest alternatives include Amberdata, CoinGlass, OptionMetrics, Polymarket, and Greeks. Synth’s strength is combining forward-looking distribution forecasts with APIs and dashboards. Its weakness is early commercial proof, narrower asset coverage, and limited company/team disclosure.
Synth is a real and usable financial-forecasting API/dashboard product. It is strongest for technical users who want probability-based market intelligence, but still lacks mature public proof of customer scale and financial performance.
