DOPE Labs is bringing artificial intelligence to prediction market trading, letting users ask questions about sports, politics, economics and other subjects and receive market analysis and potential trading opportunities through an ordinary text conversation.
The company formally announced the launch of DOPE on Thursday, positioning the tool as a personal AI agent that searches live markets, explains price movements and prepares trades based on users’ interests. It is accessible through Apple’s iMessage service and a dedicated iPhone app.
The launch adds to a growing field of AI-powered prediction market tools, but DOPE emphasizes conversational access rather than requiring users to search individual exchanges for contracts.
“Because prediction markets now cover sports, politics, the economy and culture, and their prices move with every headline, finding the right market and the trade that expresses a view still takes time and expertise. DOPE does that work,” founder and CEO Andrew Lawrence said in the company’s launch announcement.
The assistant can also monitor markets, notify users of developments and deliver a personalized morning briefing called the Daily Fix.
Users can connect their Kalshi accounts to review and confirm AI-prepared trades. It is unclear whether other exchanges are currently supported. DOPE says it does not hold customer funds or act as a counterparty.
From a simple question to a Kalshi trade
In NEXTPredict.io‘s testing, DOPE’s iPhone app proved particularly effective at turning general questions into detailed market analysis and potential trades.
When asked who would win the NFL’s Most Valuable Player award, the assistant produced a detailed breakdown of the race, citing reporting from ESPN, CBS Sports and NFL.com. It identified Cincinnati Bengals quarterback Joe Burrow as the favorite, with a 33% probability on Kalshi, followed by Josh Allen at 23%.
More interestingly, the response included an interactive card linking directly to Kalshi’s MVP market. Tapping the Trade button opened an order-entry screen showing estimated returns and prompting the user to connect a Kalshi account. A separate link opened the contract on Kalshi’s website.
The app also handled more complicated requests. Asked about the Federal Reserve’s December interest rate decision, DOPE analyzed related markets, explained the economic factors affecting prices and proposed a hypothetical two-contract position involving December and January rate decisions.
The responses included links to outside reporting and market data, although not all prices were accompanied by timestamps. No exchange account was connected or trades executed during testing.
iMessage experience shows promise, with some limitations
DOPE’s iMessage integration also delivered detailed market analysis, though the experience was less consistent than the dedicated app.
When asked whether Burrow would throw for more than 275 yards in Sunday’s game against Pittsburgh, the assistant immediately identified relevant passing-yard contracts, quoting a 62¢ price for 275-plus yards and 47¢ for 300-plus. It also provided recent performance statistics and suggested the 300-yard contract offered better value.
The question made no mention of prediction markets or any particular exchange, demonstrating how DOPE can identify trading opportunities from an ordinary conversation.
There were some drawbacks, however. The assistant initially provided prices without identifying their source. When prompted, it confirmed they came from Kalshi, but a subsequent request for a direct link to the market was unsuccessful. Instead, DOPE directed the user toward its own app.
An attempt to send a screenshot of a Kalshi Bitcoin market through iMessage also went unanswered, despite the company advertising image-based analysis. Text-only questions received almost immediate responses, suggesting a possible issue with processing image attachments.
Overall, the testing showed a capable AI research tool that makes prediction markets more accessible, particularly through its iPhone app. Its messaging integration offers similar potential, although the experience was not as seamless in every instance.
AI agents move closer to everyday trading
DOPE is part of a broader push to make prediction markets accessible through artificial intelligence. Brokerage Public has introduced AI agents that can monitor and trade Kalshi contracts, while platforms such as Elastics allow users to develop automated trading strategies across Kalshi and Polymarket.
The shift toward conversational trading was also highlighted in a September NEXTPredict.io interview with ChatBet AI CEO Joshua Swerdlow, who argued that users naturally think in questions rather than market categories and contract structures.
The development points toward a future in which finding and trading event contracts requires little more than asking a question. But it also raises the importance of accurate market data, transparent sourcing and ensuring users understand the trades AI assistants put in front of them.
The growing role of AI in trading has also caught regulators’ attention. At an Oct. 28 CFTC forum, Chairman Michael Selig questioned who would be liable if an autonomous trading agent “goes rogue,” while industry panelists debated responsibility when AI systems violate trading rules.