Compare the top 5 platforms similar to Marketlens. Match on features, US legality, and crypto support to find the right fit for your trading style.
Ranked by shared features with Marketlens. Last updated August 2026.
Independent research map of bettor-facing research tools across odds screens, EV scanners, prop databases, AI bet-slip analyzers, trackers, and prediction-market-adjacent price-comparison workflows. Includes free calculator-backed betting math references.
Prediction Markets Pro provides analytics dashboards and research tools to help traders find value and get an edge on event contract platforms like Kalshi. It aggregates historical data, live pricing, and specialized trackers to analyze Mentions markets and political/governmental action markets.
Polyrama is a real-time prediction-market terminal for Polymarket and Kalshi. It combines live odds, cross-venue market search, public-wallet analytics, trader leaderboards, whale and mispricing signals, dashboard state, historical backtests, REST API access, and an open-source MCP server for AI agents. The MCP exposes research and paper-trading tools only; it does not place live orders.
EdgeMarket is live at https://edgemarket.co. It covers Polymarket and crypto perps (Binance, Bybit, OKX, Hyperliquid) in one product. The public register publishes every Oracle call on BTC/ETH/SOL/XRP with the outcome — including misses — and names the confirmation step (T+180s on a 5-minute slot). Operators are ranked by measured alpha, not displayed P&L. Structure screens show funding, open interest and liquidations, sampled every 60s. Observer is free; Operator $39/mo (signals at emission, Telegram, pulse); Principal $79/mo (chart read, L2 true cost, API after 90 days of register).
DG3 Trade is a Polymarket sports trading terminal that ranks markets by expected value, adds live order book and sharp money context, and executes trades in under 100ms.
Marketlens is a historical data API for Polymarket prediction markets. It covers the full market catalog with tick-level order book depth, trades and candles, so sports, weather, earnings and rates markets carry the same book history as the crypto up/down markets, starting March 2026. The Python SDK reads it straight into dataframes or parquet, and includes a backtesting engine that replays the real book with queue position, latency, slippage and settlement delay, so results reflect fills you could actually have got. Free tier available, paid plans from $39/mo.
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