A backtesting platform that simulates AI prediction market strategies on historical Polymarket data before risking real money

A Claude agent turned $1,000 into $14,216 on Polymarket in 48 hours while an OpenClaw agent got liquidated on the same trades. The viral thread hit 1.2M likes, and now thousands of developers want to build prediction market agents. But they have no way to test strategies without real money at stake. This tool provides a full backtesting environment with historical Polymarket data, simulated order books, and side-by-side agent comparison so you can validate your strategy before deploying capital.

Demand Breakdown

1,200,000

Social Proof 1 sources

Claude beats OpenClaw on Polymarket with 1,322% return, 1.2M likes

@bingx · 2026-03

1,200,000

Gap Assessment

UnderservedExisting solutions leave gaps. Underserved market

2 tools exist (Polymarket API, Metaculus) but gaps remain: No backtesting, no strategy framework, no simulation, no agent comparison, raw data only; No money at stake, no trading simulation, no API for agents, no backtesting engine.

Features4 agent-ready prompts

ETL pipeline that scrapes Polymarket historical odds, volumes, and outcomes and stores them in a queryable time-series database

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Simulator that replays historical market data, executes a user-defined betting strategy, and reports PnL, win rate, and drawdown

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Runner that pits multiple AI betting strategies against each other on the same historical data and ranks them by risk-adjusted return

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Sandbox that connects to live Polymarket data, executes strategies with fake money, and tracks performance in real time

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Competitive LandscapeFREE

Product	Does	Missing
Polymarket API	Raw API for reading markets, placing trades, and getting historical data	No backtesting, no strategy framework, no simulation, no agent comparison, raw data only
Metaculus	Prediction platform with scoring and track records	No money at stake, no trading simulation, no API for agents, no backtesting engine