Brevis, Primus, and Trendle: Building Verifiable Attention Markets on Monad

2026-01-22

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TL;DR: Brevis is partnering with Primus and Trendle to bring zero-knowledge verification to attention-based prediction markets on Monad. Trendle lets traders go long or short on social media mindshare. Primus provides zkTLS attestations proving data genuinely originates from X, Reddit, and YouTube. Brevis’s Pico zkVM verifiably calculates Trendle’s attention index on the attested data. Together, the three teams are building a prediction market for attention where every index calculation is cryptographically verified end-to-end.

Prediction Markets Meet AttentionFi

Attention has become a tradable asset. Platforms like Kaito have shown that social mindshare can be quantified and financialized. Prediction markets have proven that crowds can price information more accurately than experts. Trendle offers a combination of both: a perpetual-style prediction market on Monad where traders speculate on attention itself.

Traders take positions on whether attention toward a topic will rise or fall, measured through an “Attention Index” that aggregates engagement signals across X, Reddit, and YouTube. The index tracks metrics like retweet counts, Reddit post scores, YouTube views, and comment velocity. It applies normalization, time-decay weighting, and quantile clipping to produce a single “Dollar of Attention” (DoA) value for each topic, with calculations running every minute over a rolling context window.

Traders can go long if they believe a topic is gaining mindshare, or short if they think attention has peaked. Leverage up to 5x is available, with funding rates that penalize positions that lead to deviation from the index, creating incentives for contrarian views when narratives become overextended.

The mechanics work, but the question is whether traders can trust the index.

The Trust Problem in Attention Markets

When real money rides on an attention index, users need confidence that the underlying data is authentic and the calculations are correct. Traditional approaches rely on centralized oracles or trusted operators, but the data that drives Trendle’s index comes from Web2 platforms that aren’t natively verifiable on-chain.

How do you know the social metrics are real? How do you know the calculations weren’t manipulated?

Trendle’s multi-source approach already makes manipulation on the source data harder. Gaming engagement across X, Reddit, and YouTube simultaneously is expensive and difficult to sustain. But data sources are not the only vector susceptible to manipulation. We must also ensure legitimacy of the entire pipeline that moves these data points on-chain as an aggregated index.

This is where zero-knowledge proofs change the equation.

The Technical Vision: zkTLS + Pico zkVM

Brevis, Primus, and Trendle are collaborating on an architecture that makes the entire attention index pipeline verifiable, from data collection to on-chain settlement.

The first challenge is proving that social data genuinely comes from the claimed sources. Primus, a long-time Brevis partner specializing in zkTLS technology, provides the solution. zkTLS extends standard TLS encryption with zero-knowledge proofs. When Trendle pulls engagement data from X, Reddit, or YouTube, Primus attestors witness the encrypted connection and generate cryptographic proof that the data originated from the authentic source. No tampering and no fabrication. The attestation travels with the data into the next stage.

With verified input data, Brevis’s Pico zkVM handles the computation, allowing Trendle’s attention index algorithm to run inside the zkVM. The entire calculation produces a ZK proof alongside the result. This proof is compact and cheap to verify on-chain. It confirms that the output index value was correctly computed from the attested input data according to the published algorithm.

Anyone can verify it, no one needs to trust the operator.

The final index value and its proof are submitted to Trendle’s smart contracts on Monad. The contract verifies the proof and uses the index to settle positions.

From data collection to market settlement, the entire pipeline carries cryptographic guarantees.

What This Means for Attention Markets

Verifiable attention indexes unlock capabilities that weren’t previously possible.

Traders no longer need to trust Trendle, Primus, Brevis, or any third party, the math proves itself. Disputes about index accuracy become cryptographically resolvable rather than dependent on reputation or arbitration. A verified attention index also becomes a building block for other protocols. DeFi applications, governance systems, or content platforms could consume Trendle’s index as a trust-minimized signal for attention-based mechanics.

The combination of multi-source data, zkTLS attestation, and verifiable computation creates layered defenses against manipulation. Attackers would need to simultaneously game multiple platforms, compromise cryptographic attestation, and find flaws in ZK circuits. The cost of manipulation scales dramatically compared to traditional oracle-based approaches.

Brevis Expands to Monad

This partnership marks Brevis’s expansion to Monad, adding another high-performance chain to our supported networks. Monad’s parallel execution architecture makes it well-suited for applications like Trendle that require frequent on-chain updates and fast settlement.

Brevis’s full ZK infrastructure, including Pico zkVM and zkTLS integrations, will be a great addition to Monad developers building data-intensive applications.

What’s Next

The Brevis, Primus, and Trendle teams are actively working toward integration. As AttentionFi matures, verifiability will separate sustainable platforms from those vulnerable to manipulation and disputes. This partnership establishes the technical direction: attention markets backed by cryptographic proof rather than trust assumptions.

About Brevis

Brevis is a verifiable computing platform powered by zero-knowledge proofs, serving as the infinite compute layer for Web3. Applications can offload expensive computations off-chain while proving every result on-chain. The Brevis stack includes Pico zkVM for general-purpose computation, the ZK Data Coprocessor for trustless access to historical blockchain data, Pico Prism for real-time Ethereum block proving (99.6% coverage, 6.9s average), and ProverNet, a decentralized marketplace for ZK proof generation. To date, Brevis has generated hundreds of millions of proofs across 40+ protocols on 6 blockchains.