What Polymarket–Kaito AI attention markets are and how they work
Polymarket is partnering with Kaito AI to introduce attention markets that settle on AI-derived measures of public focus. Rather than binary outcomes, these markets reference mindshare and sentiment computed from social data.
Kaito AI ingests social media activity to quantify how much people discuss a topic (mindshare) and whether the discourse skews positive or negative (sentiment). Polymarket then lists tradable markets that settle on predefined readings of those metrics at specific times.
Contract terms hinge on Kaito AI’s outputs, with settlement tied to transparent criteria such as a mindshare level reached within a window or the balance of sentiment over a period. This structure is designed to make cultural relevance tradable without relying on conventional polls.
Why attention markets matter: mindshare and sentiment you can trade
Trading attention can help price shifting narratives across culture, politics, brands, and entertainment. Unlike polls, these markets update with real-time social signals, potentially reflecting opinion dynamics sooner than survey snapshots.
Before the launch, Kaito AI characterized the concept as a way to “quantify the volume and changes in public attention based on data from social media,” adding that it could offer a more accurate view than surveys, said Yu Hu, CEO of Kaito AI, as reported by The Block.
Immediate rollout: March 2026 launch and pilot engagement
Polymarket expects to list dozens of attention markets beginning in early March 2026 and scale toward thousands by year-end, according to the Block.
Early pilots drew notable participation, including a market such as “How high will Polymarket’s mindshare go , by March 31, 2026?” which reached roughly $1.3 million in trading volume, as reported by Forbes.
Verifiable settlement and key risks to understand
How zero-knowledge proofs with Brevis and EigenCloud verify outputs
Attention markets rely on trustable metrics at settlement. To address this, Brevis supplies zero-knowledge proofs that validate Kaito AI’s mindshare and sentiment computations without exposing proprietary models, according to Superex. EigenCloud enables independent verification of the AI inference pathway so that outputs can be audited prior to payout.
This trust stack aims to separate verifiable results from opaque methods. In effect, participants can check that the published metrics were derived as claimed, while Kaito AI keeps its competitive techniques confidential.
Risks: data manipulation, misreading sentiment, and regulatory scrutiny
Social data can be gamed, and spikes in mentions may not equate to durable interest. Traders also risk misinterpreting sentiment scores in fast-moving contexts where irony, bots, or brigading distort signals. Prediction venues face ongoing regulatory scrutiny in several jurisdictions, as noted by CoinGape, so listings and access may vary over time.
At the time of this writing, the data show Polygon (MATIC) at $0.09035 with very high 17.18% volatility and a bearish reading, underscoring that choppy market backdrops can amplify outcome uncertainty.
FAQ about attention markets
How does Kaito AI measure mindshare and sentiment, and which social platforms/data sources are included?
It analyzes social media activity to quantify discussion volume (mindshare) and tone (sentiment). Coverage focuses on major social networks and public web signals, subject to data availability.
How are attention market results verified before settlement (e.g., zero-knowledge proofs, third-party audits)?
Zero-knowledge proofs from Brevis and EigenCloud verification make AI outputs auditable before settlement. Results are checkable without revealing Kaito AI’s proprietary methods.
| DISCLAIMER: The information on this website is provided as general market commentary and does not constitute investment advice. We encourage you to do your own research before investing. |
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