Pearl's AI Agents Redefine Autonomous Trading in Prediction Markets

Pearl is Olas' consumer gateway to a future where narrow AI agents quietly trade, curate and create prediction markets at a scale humans will never touch, says co-founder David Minarsch.

From Fetch.ai to Pearl

David Minarsch's route into autonomous agents is textbook crypto-AI convergence. "I got drawn into the space by my background in economics and game theory," he told our website, recalling his move into crypto after several years working on machine learning applications.

At Fetch.ai, where he spent two years, his team built one of the first agent frameworks in crypto, anchored on a simple but loaded idea: wallets controlled by machines, not humans.

Why Pearl Backs Narrow, Long-Running Agents

By the time Pearl launched in February 2025, the rest of the industry had caught up to Olas' early agent thesis. "The crypto space and the AI space had moved towards agents, now everyone is building agents or using agents or both," Minarsch says. But he argues most people's idea of an agent is still shaped by chat interfaces like ChatGPT: "a co-pilot synchronous experience" where you prompt and it replies, in front of you, in real time.

PolyStrat: Pearl's Agent on Polymarket

Polystrat is the cleanest demonstration of that philosophy. Polystrat is an example because here's just the idea: provide some capital, have it trade in prediction markets," Minarsch says. Instead of facing Polymarket's UX-wallet setup, funding, market selection, position sizing-the user delegates funds to Polystrat and lets the agent do the work.

Prediction Markets as AI Training Grounds

Trading is only half the story. As more agents enter Polymarket and its predecessors, Minarsch sees prediction markets becoming "early prototypes for these market-driven AI systems... environments that encode truth discovery at an economic scale."

The Long Tail of Pearl's Agents

Asked whether Olas agents could become "data liquidity providers operating autonomously across multiple networks," Minarsch shrugs off the distinction. "Liquidity provision is effectively also trading strategy," he says.

In that framing, Pearl is less a single app and more an operating system for narrow, long-running agents: Polystrat for prediction markets, Optimus for yield, Omenstrat for market creation and whatever comes next for liquidity across venues. The consistent design choice is scope: each agent does one thing, over long horizons, with as little human intervention as possible.