Pearl<\/a> launched in February 2025, the rest of the industry had caught up to Olas\u2019s early agent thesis. \u201cThe crypto space and the AI space had moved towards agents, now everyone is building agents or using agents or both,\u201d Minasch says. But he argues most people\u2019s idea of an agent is still shaped by chat interfaces like ChatGPT: \u201ca co\u2011pilot synchronous experience\u201d where you prompt and it replies, in front of you, in real time.<\/p>\nOlas is explicitly betting against that dominant pattern. \u201cWhen you have long long\u2011running agents with like autonomy but tightly scoped so they can\u2019t just do anything but they can do interesting things within a certain scope. That\u2019s where it becomes very interesting,\u201d he says. Pearl is designed around those tightly scoped, background processes rather than generalist assistants, Minasch points out.<\/p>\n
\u201cWith Pearl we intentionally go very narrow in terms of the capabilities of an agent,\u201d he explains. He points to new tools like OpenClaw\u2014as both validation and warning. \u201cOpenClaw validated a lot of our core assumptions that people do want llocal first experiences with AI agents,\u201d he says, but \u201cthe product can do too much, which causes a bunch of problems, including secruity, but also just a problem for the user.\u201d<\/p>\n
In his view, that kind of system is built for tinkerers \u201cwho just sort of want to mold this thing into something that\u2019s useful to them.\u201d The \u201clow friction user\u201d wants to \u201cjust press a button\u201d and get a consistent result. \u201cI have one and I asked it to send me daily report and half the time it\u2019s broken,\u201d he says of OpenClaw. \u201cThat\u2019s not a good product experience.\u201d Pearl\u2019s agents, by contrast, are designed to do one thing\u2014trading, yield seeking, market creation\u2014reliably. Limited scope, high definition, low problem latency.<\/p>\n
PolyStrat: Pearl\u2019s agent on Polymarket<\/h1>\n
Polystrat is the cleanest demonstration of that philosophy. Polystrat is an example because here\u2019s just the idea: provide some capital, have it trade in prediction markets,\u201d Minasch says. Instead of facing Polymarket\u2019s UX\u2014wallet setup, funding, market selection, position sizing\u2014the user delegates funds to Polystrat and lets the agent do the work.<\/p>\n
\u201cPolystrat is just like a user of Polymarket,\u201d he stresses. \u201cIf you want to use Polymarket you as a human need to set up a wallet, fund it and then you\u2019re faced with the decision of what market to trade in. Polystrat abstracts all this and the idea is for it to simply trade on your behalf.\u201d The agent focuses on geopolitical and political news markets, \u201cnot so short\u2011lived\u201d and generally closing \u201cwithin the next four to five days.\u201d<\/p>\n
Technically, the flow is simple but ruthless. The agent filters markets using rules like liquidity and time to close, then applies \u201cprediction tools,\u201d which Minasch describes as \u201cworkflows that sit on top of models and data sources.\u201d \u201cThere\u2019s many different prediction tools and the agent learns over time which ones to take and which ones not to take,\u201d depending on the market. A local pricing and sizing engine converts those predictions into positions and the system trades autonomously on your behalf.<\/p>\n
Performance wise, Polystrat ranges between 56 and 69% accuracy, Minasch says. As a fleet, \u201cour agents\u2026 have performed two to three times as well as human traders,\u201d although they are \u201cnot yet at a fleet\u2011wide break even.\u201d Individual Polystrat instances, however, can deliver \u201cup to 100% ROI overall and like several 100% ROI per individual trade.\u201d The goal is not anecdotes but a statistical edge: \u201cto have a Polystrat fleet on average a positive ROI.\u201d<\/p>\n
Prediction markets as AI training grounds<\/h1>\n
Trading is only half the story. As more agents enter Polymarket and its predecessors, Minasch sees prediction markets becoming \u201cearly prototypes for these market\u2011driven AI systems\u2026 environments that encode truth discovery at an economic scale.\u201d<\/p>\n
He doesn\u2019t pretend the rails are clean. On controversial questions\u2014or markets with contested outcomes\u2014information lags and disputed outcomes are common. Polystrat nor other agents on Pearl attempt to solve that. \u201cPolystrat itself is just a trading agent on top of Polymarket,\u201d it\u2019s neither consensus building nor a truth serum. <\/p>\n
But AI is already reshaping participation, creation and policing. \u201cIt\u2019s unclear exactly how many traders in prediction markets are already AI agents but it\u2019s probably more than 30%,\u201d Minasch believes. \u201cPotentially already more than half,\u201d he adds. As such, humans have limited attention, so \u201cthe whole long tail of prediction markets will basically be served to AI agents,\u201d he predicts.<\/p>\n
<\/p>\n
Crucially, Minasch breaks from crypto libertarianism on governance. \u201cWe take the view that there should be regulation of prediction markets,\u201d he says flatly, citing markets that \u201ceffectively look like assassination markets\u201d or \u201cincentivizing bad behaviors.\u201d With \u201ca certain degree of regulation or self\u2011regulation,\u201d more markets and more AI participants should \u201cdrive prices to equilibrium\u201d and \u201cimprove the information embedded in the markets,\u201d opening the door to derivatives, hedging and other instruments built on top.<\/p>\n
The long tail of Pearl\u2019s agents<\/h1>\n
Asked whether Olas agents could become \u201cdata liquidity providers operating autonomously across multiple networks,\u201d Minasch shrugs off the distinction. \u201cLiquidity provision is effectively also trading strategy,\u201d he says.<\/p>\n
In that framing, Pearl is less a single app and more an operating system for narrow, long\u2011running 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.<\/p>\n
\u201cWe were just very early to something that a lot of people are now doing,\u201d Minasch says of the agent wave. The difference now is that Pearl is pushing those agents into retail\u2011facing products, turning prediction markets into both a playground and a proving ground for AI\u2011driven liquidity and truth discovery.<\/p>\n
<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"
Pearl is Olas\u2019s 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\u2011founder David Minasch.…<\/p>\n","protected":false},"author":1,"featured_media":15990,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-24839","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cryptocurrency"],"_links":{"self":[{"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/posts\/24839","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/comments?post=24839"}],"version-history":[{"count":1,"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/posts\/24839\/revisions"}],"predecessor-version":[{"id":24840,"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/posts\/24839\/revisions\/24840"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/media\/15990"}],"wp:attachment":[{"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/media?parent=24839"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/categories?post=24839"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bitunikey.com\/news\/wp-json\/wp\/v2\/tags?post=24839"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}