The Pulse
Public Adds AI Agents to Kalshi Event-Contract Trading
Public launched Kalshi event-contract trading for its members on September 24, 2026, with options to trade directly or use AI agents. The agents can also use market probabilities as signals for trades in stocks, bonds and other portfolio as
AI.info Team ·
Public is offering investors two ways to use Kalshi event markets: place a position on an event itself, or let an AI agent use the market’s probabilities to trigger trades elsewhere in a portfolio. The company announced the product on September 24, bringing event contracts into the same brokerage infrastructure its members use for other financial products.
The arrangement turns prediction-market prices into more than wagers on a single outcome. Public says its agents can monitor those prices as signals for trades in stocks, bonds and other assets, linking expectations about events such as Federal Reserve decisions or corporate developments to users’ broader investment strategies.
One market, two kinds of trade
Members can trade Kalshi event contracts directly or set up an agent to act on their behalf. The markets cover crypto, commodities, climate, economics, corporate events, financial markets, indices, technology and science, and politics and elections, according to Public’s announcement.
Leif Abraham, Public’s co-CEO and co-founder, described the market data as an additional input for automated investing. “Members can take a position on the event directly, or use the market's data as the signal that triggers a trade anywhere else in their portfolio,” he said.
The distinction matters: an event contract expresses a view on a specific outcome, while a signal-based instruction could turn that view into a separate position in a company’s shares or options. Public’s examples include buying stock if an FDA-approval probability passes a specified threshold, alerting a user when rate-cut expectations jump, or buying put options if the probability of an earnings miss rises.
Public’s examples put limits on orders
The sample instructions in the release attach concrete conditions and spending caps to some actions. One would buy $5,000 of a stock if the probability of FDA approval for a healthcare company in a user’s portfolio exceeds 75%; another would spend no more than $2,500 on each in-the-money put-option position if the chance of an earnings miss rises above 60%.
A third example is an alert rather than an automatic trade: notify the user and summarize exposure to bank stocks if the probability of at least three rate cuts that year rises by 10 percentage points in a day. The examples show different degrees of automation, from monitoring and reporting to executing a market order. They are presented as possible instructions, not as a description of default agent behavior.
Public’s announcement does not detail how the agents handle changing market conditions, what safeguards apply to user instructions, or whether all strategies support the same controls. Those details will matter to customers deciding how much trading authority to delegate; the release says only that the service is available to all Public members.
Kalshi supplies the contracts and probabilities
Kalshi provides the event contracts and the market-generated probabilities, while Public connects them to its brokerage and AI-agent features. Kalshi’s announcement described the integration as a way for members to use those probabilities alongside stocks, bonds, crypto and other assets. Max Crowley, Kalshi’s vice president of business development, said the data could help users assess risk and inform investment views.
The product’s central trade-off is built into that design: the same probability can support a direct position on an event or influence a different asset in the user’s portfolio. Public has launched both routes, but its stated examples leave the degree of automation—and the decisions an agent makes between a trigger and a completed trade—to the instructions members choose.