Polymarket rolls out Kaito AI attention markets in March

Polymarket is launching attention markets via Kaito Metrics, creating tradable markets around cultural relevance derived from social media signals, as per ForkLog (https://forklog.com/en/polymarket-and-kaito-ai-announce-attention-markets/). The approach turns real-time “mindshare” and “sentiment” data into on-chain markets that price what people are discussing and how they feel about it, potentially offering quicker signals than traditional polling when interpreted carefully.

Mindshare reflects the share of online conversation a topic commands, while sentiment gauges the tone around that topic. Interpreting these together can help distinguish mere noise from momentum that may sustain, though measurement bias, bot activity, and brigading remain material risks that require transparent methodology and safeguards.

Polymarket attention markets trade on Kaito AI mindshare and sentiment

Benzinga reports that Polymarket’s new markets will use Kaito AI data so traders can take positions on which person, brand, or narrative captures more social media mindshare or more favorable sentiment over set time windows (https://www.benzinga.com/markets/prediction-markets/26/02/50511616/polymarket-kaito-ai-launch-attention-markets-that-let-traders-bet-on-social-hype). Coverage indicates the product expands beyond familiar event markets like elections and sports into entertainment and broader culture, with pairs and rankings constructed from Kaito’s live feeds.

Users should distinguish between the two core signals: a spike in mindshare without positive sentiment may reflect controversy rather than durable interest, whereas rising sentiment with steady mindshare may indicate gradual narrative improvement. Markets priced on these differences could behave differently than polls or odds tied to discrete outcomes.

Zero-knowledge proofs and auditable AI make Kaito metrics verifiable

According to news.superex.com, Kaito’s system is paired with an assurance stack: EigenCloud supports auditable AI inference so that the scoring pipeline can be inspected, while Brevis supplies zero-knowledge proofs for verifiable AI that confirm how metrics are computed without exposing proprietary models (https://news.superex.com/articles/17609.html). This aims to counter common criticisms of opaque sentiment tools by making inputs and transformations provable, while preserving data privacy and intellectual property.

“Attention Markets represent a new category within prediction markets, one that captures the dynamics of what people are paying attention to, how narratives form, and where relevance is moving next,” said Yu Hu, CEO of Kaito, as reported by The Defiant (https://thedefiant.io/news/defi/kaito-and-polymarket-unveil-attention-markets).

Launch timeline, use cases, and regulatory risks to know

As reported by Forbes, Polymarket plans to introduce dozens of attention markets in early March and scale to thousands by year‑end, with executives describing a new experience that lets users track feeds and express a view directly in markets built on Kaito’s signals (https://www.forbes.com/sites/aliciapark/2026/02/10/polymarket-to-offer-attention-markets-in-partnership-with-kaito-ai/). Rollout cadence and liquidity will likely depend on how clearly market pages explain mindshare versus sentiment and how well verification proofs are surfaced to end users.

Coingape notes that prediction venues face uneven rules across jurisdictions, and states including Massachusetts have moved against platforms viewed as unlicensed betting, underscoring that legality can vary by location and product design (https://coingape.com/prediction-market-news-polymarket-to-offer-attention-markets-amid-regulatory-crackdown/). Attention markets built on social data could invite additional scrutiny around market manipulation, coordinated brigading, and consumer protections.

An academic audit on arXiv cautions that prediction signals may mask strategic behavior and algorithmic opacity, risking misplaced trust in “collective intelligence” when governance and disclosures are weak (https://arxiv.org/abs/2602.05181). For attention markets, that places extra importance on auditable AI, zero-knowledge evidence, and clear user education about what the metrics capture, and what they do not.

At the time of this writing, contextual market data show Polygon (MATIC) around $0.09165 with a Bearish sentiment reading, very high 30‑day volatility near 16.75%, and 7 green days in the last 30 sessions. These figures are descriptive, not predictive, and are provided here solely as background on current market conditions.